PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain - Xiaoyi Cai; James Queeney; Tong Xu; Aniket Datar; Chenhui Pan; Max Miller; Ashton Flather; Philip R. Osteen; Nicholas Roy; Xuesu Xiao; Jonathan P. How (IEEE Robotics Autom. Lett., 2025)

Finding the optimal exploration-exploitation trade-off online through Bayesian risk estimation and minimization - Stewart Jamieson; Jonathan P. How; Yogesh A. Girdhar (Artif. Intell., 2024)

Constraint-Aware Refinement for Safety Verification of Neural Feedback Loops - Nicholas Rober; Jonathan P. How (IEEE Control. Syst. Lett., 2024)

A collective AI via lifelong learning and sharing at the edge - Andrea Soltoggio; Eseoghene Ben-Iwhiwhu; Vladimir Braverman; Eric Eaton; Benjamin Epstein; Yunhao Ge; Lucy Halperin; Jonathan P. How; Laurent Itti; Michael A. Jacobs; Pavan Kantharaju; Long Le; et al. (Nat. Mac. Intell., 2024)

Robust MADER: Decentralized Multiagent Trajectory Planner Robust to Communication Delay in Dynamic Environments - Kota Kondo; Reinaldo Figueroa; Juan Rached; Jesus Tordesillas; Parker C. Lusk; Jonathan P. How (IEEE Robotics Autom. Lett., 2024)

CLIPPER: Robust Data Association Without an Initial Guess - Parker C. Lusk; Jonathan P. How (IEEE Robotics Autom. Lett., 2024)

Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies From MPC via Tube-Guided Data Augmentation and NeRFs - Andrea Tagliabue; Jonathan P. How (IEEE Robotics Autom. Lett., 2024)

MURP: Multi-Agent Ultra-Wideband Relative Pose Estimation With Constrained Communications in 3D Environments - Andrew Fishberg; Brian J. Quiter; Jonathan P. How (IEEE Robotics Autom. Lett., 2024)

Spectral Sparsification for Communication-Efficient Collaborative Rotation and Translation Estimation - Yulun Tian; Jonathan P. How (IEEE Trans. Robotics, 2024)

EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy - Xiaoyi Cai; Siddharth Ancha; Lakshay Sharma; Philip R. Osteen; Bernadette Bucher; Stephen Phillips; Jiuguang Wang; Michael Everett; Nicholas Roy; Jonathan P. How (IEEE Trans. Robotics, 2024)

Certifiably Correct Range-Aided SLAM - Alan Papalia; Andrew Fishberg; Brendan W. O'Neill; Jonathan P. How; David M. Rosen; John J. Leonard (IEEE Trans. Robotics, 2024)

Efficient Deep Learning of Robust Policies From MPC Using Imitation and Tube-Guided Data Augmentation - Andrea Tagliabue; Jonathan P. How (IEEE Trans. Robotics, 2024)

SDP Synthesis of Maximum Coverage Trees for Probabilistic Planning under Control Constraints - Naman Aggarwal; Jonathan P. How (63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024)

REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots - Andrea Tagliabue; Kota Kondo; Tong Zhao; Mason B. Peterson; Claudius T. Tewari; Jonathan P. How (63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024)

Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances - Nicholas Rober; Karan Mahesh; Tyler M. Paine; Max L. Greene; Steven Lee; Sildomar T. Monteiro; Michael R. Benjamin; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment - Kota Kondo; Claudius T. Tewari; Mason B. Peterson; Annika Thomas; Jouko Kinnari; Andrea Tagliabue; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Look Before You Leap: Socially Acceptable High-Speed Ground Robot Navigation in Crowded Hallways - Lakshay Sharma; Nicolaniello Buono; Ashton Flather; Xiaoyi Cai; Jonathan P. How (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

SOS-Match: Segmentation for Open-Set Robust Correspondence Search and Robot Localization in Unstructured Environments - Annika Thomas; Jouko Kinnari; Parker C. Lusk; Kota Kondo; Jonathan P. How (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

SOS-SLAM: Segmentation for Open-Set SLAM in Unstructured Environments - Jouko Kinnari; Annika Thomas; Parker C. Lusk; Kota Kondo; Jonathan P. How (CoRR, 2024)

CLIPPER: Robust Data Association without an Initial Guess - Parker C. Lusk; Jonathan P. How (CoRR, 2024)

Look Before You Leap: Socially Acceptable High-Speed Ground Robot Navigation in Crowded Hallways - Lakshay Sharma; Jonathan P. How (CoRR, 2024)

SDP Synthesis of Maximum Coverage Trees for Probabilistic Planning under Control Constraints - Naman Aggarwal; Jonathan P. How (CoRR, 2024)

CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning - Kota Kondo; Andrea Tagliabue; Xiaoyi Cai; Claudius T. Tewari; Olivia Garcia; Marcos Espitia-Alvarez; Jonathan P. How (CoRR, 2024)

Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows - Minjae Cho; Jonathan P. How; Chuangchuang Sun (CoRR, 2024)

MOTLEE: Collaborative Multi-Object Tracking Using Temporal Consistency for Neighboring Robot Frame Alignment - Mason B. Peterson; Parker C. Lusk; Antonio Avila; Jonathan P. How (CoRR, 2024)

PRIMER: Perception-Aware Robust Learning-based Multiagent Trajectory Planner - Kota Kondo; Claudius T. Tewari; Andrea Tagliabue; Jesus Tordesillas; Parker C. Lusk; Jonathan P. How (CoRR, 2024)

PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain - Xiaoyi Cai; James Queeney; Tong Xu; Aniket Datar; Chenhui Pan; Max Miller; Ashton Flather; Philip R. Osteen; Nicholas Roy; Xuesu Xiao; Jonathan P. How (CoRR, 2024)

SDP Synthesis of Distributionally Robust Backward Reachable Trees for Probabilistic Planning - Naman Aggarwal; Jonathan P. How (CoRR, 2024)

An Overview of the Burer-Monteiro Method for Certifiable Robot Perception - Alan Papalia; Yulun Tian; David M. Rosen; Jonathan P. How; John J. Leonard (CoRR, 2024)

Constraint-Aware Refinement for Safety Verification of Neural Feedback Loops - Nicholas Rober; Jonathan P. How (CoRR, 2024)

Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis - Karan Mahesh; Tyler M. Paine; Max L. Greene; Nicholas Rober; Steven Lee; Sildomar T. Monteiro; Anuradha Annaswamy; Michael R. Benjamin; Jonathan P. How (CoRR, 2024)

ROMAN: Open-Set Object Map Alignment for Robust View-Invariant Global Localization - Mason B. Peterson; Yi Xuan Jia; Yulun Tian; Annika Thomas; Jonathan P. How (CoRR, 2024)

REVISE: Robust Probabilistic Motion Planning in a Gaussian Random Field - Alex Rose; Naman Aggarwal; Christopher Jewison; Jonathan P. How (CoRR, 2024)

GRAM: Generalization in Deep RL with a Robust Adaptation Module - James Queeney; Xiaoyi Cai; Mouhacine Benosman; Jonathan P. How (CoRR, 2024)

GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration - Parker C. Lusk; Devarth Parikh; Jonathan P. How (IEEE Robotics Autom. Lett., 2023)

Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments - Jesus Tordesillas; Jonathan P. How (IEEE Robotics Autom. Lett., 2023)

MIXER: Multiattribute, Multiway Fusion of Uncertain Pairwise Affinities - Parker C. Lusk; Kaveh Fathian; Jonathan P. How (IEEE Robotics Autom. Lett., 2023)

Implicit Ensemble Training for Efficient and Robust Multiagent Reinforcement Learning - Macheng Shen; Jonathan P. How (Trans. Mach. Learn. Res., 2023)

Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows - Qiangqiang Huang; Can Pu; Kasra Khosoussi; David M. Rosen; Dehann Fourie; Jonathan P. How; John J. Leonard (IEEE Trans. Robotics, 2023)

Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams - Xiaoyi Cai; Brent Schlotfeldt; Kasra Khosoussi; Nikolay Atanasov; George J. Pappas; Jonathan P. How (IEEE Trans. Robotics, 2023)

A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops - Nicholas Rober; Michael Everett; Songan Zhang; Jonathan P. How (American Control Conference, ACC 2023, San Diego, CA, USA, May 31 - June 2, 2023, 2023)

Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay - Kota Kondo; Jesus Tordesillas; Reinaldo Figueroa; Juan Rached; Joseph Merkel; Parker C. Lusk; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning Methods - Stewart Jamieson; Jonathan P. How; Yogesh A. Girdhar (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC - Andrea Tagliabue; Yi-Hsuan Hsiao; Urban Fasel; J. Nathan Kutz; Steven L. Brunton; YuFeng Chen; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation - Lakshay Sharma; Michael Everett; Donggun Lee; Xiaoyi Cai; Philip R. Osteen; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

Wide-Area Geolocalization with a Limited Field of View Camera - Lena M. Downes; Ted J. Steiner; Rebecca L. Russell; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

MOTLEE: Distributed Mobile Multi-Object Tracking with Localization Error Elimination - Mason B. Peterson; Parker C. Lusk; Jonathan P. How (IROS, 2023)

Global Localization in Unstructured Environments Using Semantic Object Maps Built from Various Viewpoints - Jacqueline Ankenbauer; Parker C. Lusk; Annika Thomas; Jonathan P. How (IROS, 2023)

Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation - Tong Zhao; Andrea Tagliabue; Jonathan P. How (IROS, 2023)

Resilient and Distributed Multi-Robot Visual SLAM: Datasets, Experiments, and Lessons Learned - Yulun Tian; Yun Chang; Long Quang; Arthur Schang; Carlos Nieto-Granda; Jonathan P. How; Luca Carlone (IROS, 2023)

Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments - Xiaoyi Cai; Michael Everett; Lakshay Sharma; Philip R. Osteen; Jonathan P. How (IROS, 2023)

Wide-Area Geolocalization with a Limited Field of View Camera in Challenging Urban Environments Dataset (Version 1.0.0) - Lena M. Downes; Ted J. Steiner; Rebecca L. Russell; Jonathan P. How (Zenodo, 2023)
Accessed on YYYY-MM-DD.

Certifiably Correct Range-Aided SLAM - Alan Papalia; Andrew Fishberg; Brendan W. O'Neill; Jonathan P. How; David M. Rosen; John J. Leonard (CoRR, 2023)

DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning Methods - Stewart Jamieson; Jonathan P. How; Yogesh A. Girdhar (CoRR, 2023)

Global Localization in Unstructured Environments using Semantic Object Maps Built from Various Viewpoints - Jacqueline Ankenbauer; Parker C. Lusk; Jonathan P. How (CoRR, 2023)

Robust MADER: Decentralized Multiagent Trajectory Planner Robust to Communication Delay in Dynamic Environments - Kota Kondo; Reinaldo Figueroa; Juan Rached; Jesus Tordesillas; Parker C. Lusk; Jonathan P. How (CoRR, 2023)

Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation - Tong Zhao; Andrea Tagliabue; Jonathan P. How (CoRR, 2023)

Surrogate Neural Networks for Efficient Simulation-based Trajectory Planning Optimization - Evelyn Ruff; Rebecca L. Russell; Matthew Stoeckle; Piero Miotto; Jonathan P. How (CoRR, 2023)

Resilient and Distributed Multi-Robot Visual SLAM: Datasets, Experiments, and Lessons Learned - Yulun Tian; Yun Chang; Long Quang; Arthur Schang; Carlos Nieto-Granda; Jonathan P. How; Luca Carlone (CoRR, 2023)

MOTLEE: Distributed Mobile Multi-Object Tracking with Localization Error Elimination - Mason B. Peterson; Parker C. Lusk; Jonathan P. How (CoRR, 2023)

Efficient Deep Learning of Robust Policies from MPC using Imitation and Tube-Guided Data Augmentation - Andrea Tagliabue; Jonathan P. How (CoRR, 2023)

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms - Anthony G. Francis; Claudia Pérez-D'Arpino; Chengshu Li; Fei Xia; Alexandre Alahi; Rachid Alami; Aniket Bera; Abhijat Biswas; Joydeep Biswas; Rohan Chandra; Hao-Tien Lewis Chiang; Michael Everett; et al. (CoRR, 2023)

RAYEN: Imposition of Hard Convex Constraints on Neural Networks - Jesus Tordesillas; Jonathan P. How; Marco Hutter (CoRR, 2023)

Wide-Area Geolocalization with a Limited Field of View Camera in Challenging Urban Environments - Lena M. Downes; Ted J. Steiner; Rebecca L. Russell; Jonathan P. How (CoRR, 2023)

A Forward Reachability Perspective on Robust Control Invariance and Discount Factors in Reachability Analysis - Jason J. Choi; Donggun Lee; Boyang Li; Jonathan P. How; Koushil Sreenath; Sylvia L. Herbert; Claire J. Tomlin (CoRR, 2023)

Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances - Nicholas Rober; Karan Mahesh; Tyler M. Paine; Max L. Greene; Steven Lee; Sildomar T. Monteiro; Michael R. Benjamin; Jonathan P. How (CoRR, 2023)

REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots - Andrea Tagliabue; Kota Kondo; Tong Zhao; Mason B. Peterson; Claudius T. Tewari; Jonathan P. How (CoRR, 2023)

PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment - Kota Kondo; Claudius T. Tewari; Mason B. Peterson; Annika Thomas; Jouko Kinnari; Andrea Tagliabue; Jonathan P. How (CoRR, 2023)

EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy - Xiaoyi Cai; Siddharth Ancha; Lakshay Sharma; Philip R. Osteen; Bernadette Bucher; Stephen Phillips; Jiuguang Wang; Michael Everett; Nicholas Roy; Jonathan P. How (CoRR, 2023)

Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies from MPC using Tube-Guided Data Augmentation and NeRFs - Andrea Tagliabue; Jonathan P. How (CoRR, 2023)

MURP: Multi-Agent Ultra-Wideband Relative Pose Estimation with Constrained Communications in 3D Environments - Andrew Fishberg; Brian J. Quiter; Jonathan P. How (CoRR, 2023)

Communication-Aware Consensus-Based Decentralized Task Allocation in Communication Constrained Environments - Sharan Raja; Golnaz Habibi; Jonathan P. How (IEEE Access, 2022)

PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments - Jesus Tordesillas; Jonathan P. How (IEEE Access, 2022)

MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves - Jesus Tordesillas; Jonathan P. How (Comput. Aided Des., 2022)

Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning - Michael Everett; Björn Lütjens; Jonathan P. How (IEEE Trans. Neural Networks Learn. Syst., 2022)

MADER: Trajectory Planner in Multiagent and Dynamic Environments - Jesus Tordesillas; Jonathan P. How (IEEE Trans. Robotics, 2022)

FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments - Jesus Tordesillas; Brett Thomas Lopez; Michael Everett; Jonathan P. How (IEEE Trans. Robotics, 2022)

Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems - Yulun Tian; Yun Chang; Fernando Herrera Arias; Carlos Nieto-Granda; Jonathan P. How; Luca Carlone (IEEE Trans. Robotics, 2022)

Context-Specific Representation Abstraction for Deep Option Learning - Marwa Abdulhai; Dong-Ki Kim; Matthew Riemer; Miao Liu; Gerald Tesauro; Jonathan P. How (Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022)

Distributed Filtering with Value of Information Censoring - Miguel Calvo-Fullana; Jonathan P. How (American Control Conference, ACC 2022, Atlanta, GA, USA, June 8-10, 2022, 2022)

Backward Reachability Analysis for Neural Feedback Loops - Nicholas Rober; Michael Everett; Jonathan P. How (61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, December 6-9, 2022, 2022)

Mission-Aware Value of Information Censoring for Distributed Filtering - Miguel Calvo-Fullana; Jonathan P. How (61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, December 6-9, 2022, 2022)

Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC - Andrea Tagliabue; Dong-Ki Kim; Michael Everett; Jonathan P. How (2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, 2022)

ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation - Chuangchuang Sun; Dong-Ki Kim; Jonathan P. How (2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, 2022)

Multi-Agent Relative Pose Estimation with UWB and Constrained Communications - Andrew Fishberg; Jonathan P. How (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map - Xiaoyi Cai; Michael Everett; Jonathan Fink; Jonathan P. How (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation - Yulun Tian; Amrit Singh Bedi; Alec Koppel; Miguel Calvo-Fullana; David M. Rosen; Jonathan P. How (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

Global Data Association for SLAM with 3D Grassmannian Manifold Objects - Parker C. Lusk; Jonathan P. How (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning - Andrea Tagliabue; Jonathan P. How (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent - Lena M. Downes; Dong-Ki Kim; Ted J. Steiner; Jonathan P. How (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

Safe adaptation in multiagent competition - Macheng Shen; Jonathan P. How (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

Influencing Long-Term Behavior in Multiagent Reinforcement Learning - Dong-Ki Kim; Matthew Riemer; Miao Liu; Jakob N. Foerster; Michael Everett; Chuangchuang Sun; Gerald Tesauro; Jonathan P. How (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation - Yulun Tian; Amrit Singh Bedi; Alec Koppel; Miguel Calvo-Fullana; David M. Rosen; Jonathan P. How (CoRR, 2022)

Influencing Long-Term Behavior in Multiagent Reinforcement Learning - Dong-Ki Kim; Matthew Riemer; Miao Liu; Jakob N. Foerster; Michael Everett; Chuangchuang Sun; Gerald Tesauro; Jonathan P. How (CoRR, 2022)

City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent - Lena M. Downes; Dong-Ki Kim; Ted J. Steiner; Jonathan P. How (CoRR, 2022)

Safe adaptation in multiagent competition - Macheng Shen; Jonathan P. How (CoRR, 2022)

Multi-Agent Relative Pose Estimation with UWB and Constrained Communications - Andrew Fishberg; Jonathan P. How (CoRR, 2022)

Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map - Xiaoyi Cai; Michael Everett; Jonathan Fink; Jonathan P. How (CoRR, 2022)

Distributed Filtering with Value of Information Censoring - Miguel Calvo-Fullana; Jonathan P. How (CoRR, 2022)

Backward Reachability Analysis for Neural Feedback Loops - Nicholas Rober; Michael Everett; Jonathan P. How (CoRR, 2022)

Global Data Association for SLAM with 3D Grassmannian Manifold Objects - Parker C. Lusk; Jonathan P. How (CoRR, 2022)

Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams - Xiaoyi Cai; Brent Schlotfeldt; Kasra Khosoussi; Nikolay Atanasov; George J. Pappas; Jonathan P. How (CoRR, 2022)

Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments - Jesus Tordesillas; Jonathan P. How (CoRR, 2022)

Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC - Andrea Tagliabue; Yi-Hsuan Hsiao; Urban Fasel; J. Nathan Kutz; Steven L. Brunton; YuFeng Chen; Jonathan P. How (CoRR, 2022)

Wide-Area Geolocalization with a Limited Field of View Camera - Lena M. Downes; Ted J. Steiner; Rebecca L. Russell; Jonathan P. How (CoRR, 2022)

Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay - Kota Kondo; Jesus Tordesillas; Reinaldo Figueroa; Juan Rached; Joseph Merkel; Parker C. Lusk; Jonathan P. How (CoRR, 2022)

Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems - Nicholas Rober; Sydney M. Katz; Chelsea Sidrane; Esen Yel; Michael Everett; Mykel J. Kochenderfer; Jonathan P. How (CoRR, 2022)

View-Invariant Localization using Semantic Objects in Changing Environments - Jacqueline Ankenbauer; Kaveh Fathian; Jonathan P. How (CoRR, 2022)

Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments - Xiaoyi Cai; Michael Everett; Lakshay Sharma; Philip R. Osteen; Jonathan P. How (CoRR, 2022)

Spectral Sparsification for Communication-Efficient Collaborative Rotation and Translation Estimation - Yulun Tian; Jonathan P. How (CoRR, 2022)

RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation - Lakshay Sharma; Michael Everett; Donggun Lee; Xiaoyi Cai; Philip R. Osteen; Jonathan P. How (CoRR, 2022)

A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops - Nicholas Rober; Michael Everett; Songan Zhang; Jonathan P. How (CoRR, 2022)

MIXER: Multiattribute, Multiway Fusion of Uncertain Pairwise Affinities - Parker C. Lusk; Kaveh Fathian; Jonathan P. How (CoRR, 2022)

Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning - Andrea Tagliabue; Jonathan P. How (CoRR, 2022)

Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria - Dong-Ki Kim; Matthew Riemer; Miao Liu; Jakob N. Foerster; Gerald Tesauro; Jonathan P. How (CoRR, 2022)

Mission-Aware Value of Information Censoring for Distributed Filtering - Miguel Calvo-Fullana; Jonathan P. How (CoRR, 2022)

GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration - Parker C. Lusk; Devarth Parikh; Jonathan P. How (CoRR, 2022)

Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning - Michael Everett; Yu Fan Chen; Jonathan P. How (IEEE Access, 2021)

Reachability Analysis of Neural Feedback Loops - Michael Everett; Golnaz Habibi; Chuangchuang Sun; Jonathan P. How (IEEE Access, 2021)

Robust Adaptive Control Barrier Functions: An Adaptive and Data-Driven Approach to Safety - Brett Thomas Lopez; Jean-Jacques E. Slotine; Jonathan P. How (IEEE Control. Syst. Lett., 2021)

Robustness Analysis of Neural Networks via Efficient Partitioning With Applications in Control Systems - Michael Everett; Golnaz Habibi; Jonathan P. How (IEEE Control. Syst. Lett., 2021)

A resource-aware approach to collaborative loop-closure detection with provable performance guarantees - Yulun Tian; Kasra Khosoussi; Jonathan P. How (Int. J. Robotics Res., 2021)

Neural Network Approach to Crater Detection for Lunar Terrain Relative Navigation - Lena M. Downes; Ted J. Steiner; Jonathan P. How (J. Aerosp. Inf. Syst., 2021)

Human Trajectory Prediction Using Similarity-Based Multi-Model Fusion - Golnaz Habibi; Jonathan P. How (IEEE Robotics Autom. Lett., 2021)

Where to go Next: Learning a Subgoal Recommendation Policy for Navigation in Dynamic Environments - Bruno Brito; Michael Everett; Jonathan P. How; Javier Alonso-Mora (IEEE Robotics Autom. Lett., 2021)

Distributed Certifiably Correct Pose-Graph Optimization - Yulun Tian; Kasra Khosoussi; David M. Rosen; Jonathan P. How (IEEE Trans. Robotics, 2021)

Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning - Macheng Shen; Jonathan P. How (Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICAPS 2021, Guangzhou, China (virtual), August 2-13, 2021, 2021)

Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems - Michael Everett; Golnaz Habibi; Jonathan P. How (2021 American Control Conference, ACC 2021, New Orleans, LA, USA, May 25-28, 2021, 2021)

Cooperative Model-Based Reinforcement Learning for Approximate Optimal Tracking - Max L. Greene; Zachary I. Bell; Scott A. Nivison; Jonathan P. How; Warren E. Dixon (2021 American Control Conference, ACC 2021, New Orleans, LA, USA, May 25-28, 2021, 2021)

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning - Dong-Ki Kim; Miao Liu; Matthew Riemer; Chuangchuang Sun; Marwa Abdulhai; Golnaz Habibi; Sebastian Lopez-Cot; Gerald Tesauro; Jonathan P. How (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows - Qiangqiang Huang; Can Pu; Dehann Fourie; Kasra Khosoussi; Jonathan P. How; John J. Leonard (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers - Michael Everett; Golnaz Habibi; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

Airflow-Inertial Odometry for Resilient State Estimation on Multirotors - Andrea Tagliabue; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

Multi-Robot Distributed Semantic Mapping in Unfamiliar Environments through Online Matching of Learned Representations - Stewart Jamieson; Kaveh Fathian; Kasra Khosoussi; Jonathan P. How; Yogesh A. Girdhar (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams - Xiaoyi Cai; Brent Schlotfeldt; Kasra Khosoussi; Nikolay Atanasov; George J. Pappas; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimizer - Chuangchuang Sun; Dong-Ki Kim; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

Kimera-Multi: a System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping - Yun Chang; Yulun Tian; Jonathan P. How; Luca Carlone (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

CLIPPER: A Graph-Theoretic Framework for Robust Data Association - Parker C. Lusk; Kaveh Fathian; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers - Michael Everett; Golnaz Habibi; Jonathan P. How (CoRR, 2021)

Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams - Xiaoyi Cai; Brent Schlotfeldt; Kasra Khosoussi; Nikolay Atanasov; George J. Pappas; Jonathan P. How (CoRR, 2021)

LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments - Andrea Tagliabue; Jesus Tordesillas; Xiaoyi Cai; Angel Santamaria-Navarro; Jonathan P. How; Luca Carlone; Ali-akbar Agha-mohammadi (CoRR, 2021)

Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians - Bruno Brito; Michael Everett; Jonathan P. How; Javier Alonso-Mora (CoRR, 2021)

PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments - Jesus Tordesillas; Jonathan P. How (CoRR, 2021)

Multi-Robot Distributed Semantic Mapping in Unfamiliar Environments through Online Matching of Learned Representations - Stewart Jamieson; Kaveh Fathian; Kasra Khosoussi; Jonathan P. How; Yogesh A. Girdhar (CoRR, 2021)

NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows - Qiangqiang Huang; Can Pu; Dehann Fourie; Kasra Khosoussi; Jonathan P. How; John J. Leonard (CoRR, 2021)

Airflow-Inertial Odometry for Resilient State Estimation on Multirotors - Andrea Tagliabue; Jonathan P. How (CoRR, 2021)

Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems - Yulun Tian; Yun Chang; Fernando Herrera Arias; Carlos Nieto-Granda; Jonathan P. How; Luca Carlone (CoRR, 2021)

Reachability Analysis of Neural Feedback Loops - Michael Everett; Golnaz Habibi; Chuangchuang Sun; Jonathan P. How (CoRR, 2021)

ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation - Chuangchuang Sun; Dong-Ki Kim; Jonathan P. How (CoRR, 2021)

Context-Specific Representation Abstraction for Deep Option Learning - Marwa Abdulhai; Dong-Ki Kim; Matthew Riemer; Miao Liu; Gerald Tesauro; Jonathan P. How (CoRR, 2021)

Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC - Andrea Tagliabue; Dong-Ki Kim; Michael Everett; Jonathan P. How (CoRR, 2021)

Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows - Qiangqiang Huang; Can Pu; Kasra Khosoussi; David M. Rosen; Dehann Fourie; Jonathan P. How; John J. Leonard (CoRR, 2021)

MIXER: A Principled Framework for Multimodal, Multiway Data Association - Parker C. Lusk; Ronak Roy; Kaveh Fathian; Jonathan P. How (CoRR, 2021)

Crossmodal attentive skill learner: learning in Atari and beyond with audio-video inputs - Dong-Ki Kim; Shayegan Omidshafiei; Jason Pazis; Jonathan P. How (Auton. Agents Multi Agent Syst., 2020)

Onboard Detection and Localization of Drones Using Depth Maps - Adrian Carrio; Jesus Tordesillas; Sai Vemprala; Srikanth Saripalli; Pascual Campoy; Jonathan P. How (IEEE Access, 2020)

VPS-SLAM: Visual Planar Semantic SLAM for Aerial Robotic Systems - Hriday Bavle; Paloma de la Puente; Jonathan P. How; Pascual Campoy (IEEE Access, 2020)

Search and rescue under the forest canopy using multiple UAVs - Yulun Tian; Katherine Liu; Kyel Ok; Loc D. Tran; Danette Allen; Nicholas Roy; Jonathan P. How (Int. J. Robotics Res., 2020)

Multi-Agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning - Samaneh Hosseini Semnani; Hugh Liu; Michael Everett; Anton H. J. de Ruiter; Jonathan P. How (IEEE Robotics Autom. Lett., 2020)

A Distributed Pipeline for Scalable, Deconflicted Formation Flying - Parker C. Lusk; Xiaoyi Cai; Samir Wadhwania; Aleix Paris; Kaveh Fathian; Jonathan P. How (IEEE Robotics Autom. Lett., 2020)

Asynchronous and Parallel Distributed Pose Graph Optimization - Yulun Tian; Alec Koppel; Amrit Singh Bedi; Jonathan P. How (IEEE Robotics Autom. Lett., 2020)

CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multiview Data Association - Kaveh Fathian; Kasra Khosoussi; Yulun Tian; Parker C. Lusk; Jonathan P. How (IEEE Trans. Robotics, 2020)

Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection - Lena M. Downes; Ted J. Steiner; Jonathan P. How (2020 American Control Conference, ACC 2020, Denver, CO, USA, July 1-3, 2020, 2020)

Learning Hierarchical Teaching Policies for Cooperative Agents - Dong-Ki Kim; Miao Liu; Shayegan Omidshafiei; Sebastian Lopez-Cot; Matthew Riemer; Golnaz Habibi; Gerald Tesauro; Sami Mourad; Murray Campbell; Jonathan P. How (Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020, 2020)

SILA: An Incremental Learning Approach for Pedestrian Trajectory Prediction - Golnaz Habibi; Nikita Jaipuria; Jonathan P. How (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2020, Seattle, WA, USA, June 14-19, 2020, 2020)

Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments - Stewart Jamieson; Jonathan P. How; Yogesh A. Girdhar (2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, 2020)

Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning - Arpan Kusari; Jonathan P. How (2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, 2020)

Dynamic Landing of an Autonomous Quadrotor on a Moving Platform in Turbulent Wind Conditions - Aleix Paris; Brett Thomas Lopez; Jonathan P. How (2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, 2020)

A Whisker-inspired Fin Sensor for Multi-directional Airflow Sensing - Suhan Kim; Regan Kubicek; Aleix Paris; Andrea Tagliabue; Jonathan P. How; Sarah Bergbreiter (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, 2020)

Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor - Andrea Tagliabue; Aleix Paris; Suhan Kim; Regan Kubicek; Sarah Bergbreiter; Jonathan P. How (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, 2020)

Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph - Chuangchuang Sun; Macheng Shen; Jonathan P. How (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, 2020)

LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments - Andrea Tagliabue; Jesus Tordesillas; Xiaoyi Cai; Angel Santamaria-Navarro; Jonathan P. How; Luca Carlone; Ali-akbar Agha-mohammadi (Experimental Robotics - The 17th International Symposium, ISER 2020, La Valletta, Malta, November 9-12, 2020 (postponed to 2021), 2020)

Collision Probabilities for Continuous-Time Systems Without Sampling - Kristoffer M. Frey; Ted J. Steiner; Jonathan P. How (Robotics: Science and Systems XVI, Virtual Event / Corvalis, Oregon, USA, July 12-16, 2020, 2020)

FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments - Jesus Tordesillas; Brett Thomas Lopez; Michael Everett; Jonathan P. How (CoRR, 2020)

Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning - Samaneh Hosseini Semnani; Hugh Liu; Michael Everett; Anton H. J. de Ruiter; Jonathan P. How (CoRR, 2020)

R-MADDPG for Partially Observable Environments and Limited Communication - Rose E. Wang; Michael Everett; Jonathan P. How (CoRR, 2020)

Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph - Chuangchuang Sun; Macheng Shen; Jonathan P. How (CoRR, 2020)

A Distributed Pipeline for Scalable, Deconflicted Formation Flying - Parker C. Lusk; Xiaoyi Cai; Samir Wadhwania; Aleix Paris; Kaveh Fathian; Jonathan P. How (CoRR, 2020)

Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor - Andrea Tagliabue; Aleix Paris; Suhan Kim; Regan Kubicek; Sarah Bergbreiter; Jonathan P. How (CoRR, 2020)

Asynchronous and Parallel Distributed Pose Graph Optimization - Yulun Tian; Alec Koppel; Amrit Singh Bedi; Jonathan P. How (CoRR, 2020)

Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments - Stewart Jamieson; Jonathan P. How; Yogesh A. Girdhar (CoRR, 2020)

Adaptive Safety for Uncertain Nonlinear Systems with Control Barrier Functions and Contraction Metrics - Brett Thomas Lopez; Jean-Jacques E. Slotine; Jonathan P. How (CoRR, 2020)

Certified Adversarial Robustness for Deep Reinforcement Learning - Michael Everett; Björn Lütjens; Jonathan P. How (CoRR, 2020)

Collision Probabilities for Continuous-Time Systems Without Sampling [with Appendices] - Kristoffer M. Frey; Ted J. Steiner; Jonathan P. How (CoRR, 2020)

Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer - Chuangchuang Sun; Dong-Ki Kim; Jonathan P. How (CoRR, 2020)

Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection - Lena M. Downes; Ted J. Steiner; Jonathan P. How (CoRR, 2020)

Robustness Analysis of Neural Networks via Efficient Partitioning: Theory and Applications in Control Systems - Michael Everett; Golnaz Habibi; Jonathan P. How (CoRR, 2020)

MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves - Jesus Tordesillas; Jonathan P. How (CoRR, 2020)

MADER: Trajectory Planner in Multi-Agent and Dynamic Environments - Jesus Tordesillas; Jonathan P. How (CoRR, 2020)

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning - Dong-Ki Kim; Miao Liu; Matthew Riemer; Chuangchuang Sun; Marwa Abdulhai; Golnaz Habibi; Sebastian Lopez-Cot; Gerald Tesauro; Jonathan P. How (CoRR, 2020)

Kimera-Multi: a System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping - Yun Chang; Yulun Tian; Jonathan P. How; Luca Carlone (CoRR, 2020)

CLIPPER: A Graph-Theoretic Framework for Robust Data Association - Parker C. Lusk; Kaveh Fathian; Jonathan P. How (CoRR, 2020)

Performance Analysis of Adaptive Dynamic Tube MPC - Savva Morozov; Parker C. Lusk; Brett Thomas Lopez; Jonathan P. How (CoRR, 2020)

Reliable Graphs for SLAM - Kasra Khosoussi; Matthew Giamou; Gaurav S. Sukhatme; Shoudong Huang; Gamini Dissanayake; Jonathan P. How (Int. J. Robotics Res., 2019)

Modeling and Planning with Macro-Actions in Decentralized POMDPs - Christopher Amato; George Dimitri Konidaris; Leslie Pack Kaelbling; Jonathan P. How (J. Artif. Intell. Res., 2019)

Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture Models - Trevor Campbell; Brian Kulis; Jonathan P. How (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Where Do We Go From Here? Debates on the Future of Robotics Research at ICRA 2019 [From the Field] - Lee E. Clement; Valentin Peretroukhin; Matthew Giamou; John J. Leonard; Hadas Kress-Gazit; Jonathan P. How; Michael Milford; Oliver Brock; Ryan Gariepy; Nicholas Roy; Hallie Siegel; Ludovic Righetti; et al. (IEEE Robotics Autom. Mag., 2019)

Vision-Based Multirotor Following Using Synthetic Learning Techniques - Alejandro Rodriguez-Ramos; Adrian Alvarez-Fernandez; Hriday Bavle; Pascual Campoy; Jonathan P. How (Sensors, 2019)

Automatic Pan-Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets - Hongchuan Wei; Pingping Zhu; Miao Liu; Jonathan P. How; Silvia Ferrari (IEEE Trans. Autom. Control., 2019)

Learning to Teach in Cooperative Multiagent Reinforcement Learning - Shayegan Omidshafiei; Dong-Ki Kim; Miao Liu; Gerald Tesauro; Matthew Riemer; Christopher Amato; Murray Campbell; Jonathan P. How (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems - Trong Nghia Hoang; Quang Minh Hoang; Kian Hsiang Low; Jonathan P. How (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Dynamic Tube MPC for Nonlinear Systems - Brett Thomas Lopez; Jonathan P. How; Jean-Jacques E. Slotine (2019 American Control Conference, ACC 2019, Philadelphia, PA, USA, July 10-12, 2019, 2019)

Certified Adversarial Robustness for Deep Reinforcement Learning - Björn Lütjens; Michael Everett; Jonathan P. How (3rd Annual Conference on Robot Learning, CoRL 2019, Osaka, Japan, October 30 - November 1, 2019, Proceedings, 2019)

Robust Object-based SLAM for High-speed Autonomous Navigation - Kyel Ok; Katherine Liu; Kristoffer M. Frey; Jonathan P. How; Nicholas Roy (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments - Jesus Tordesillas; Brett Thomas Lopez; John Carter; John Ware; Jonathan P. How (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

Efficient Constellation-Based Map-Merging for Semantic SLAM - Kristoffer M. Frey; Ted J. Steiner; Jonathan P. How (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning - Macheng Shen; Jonathan P. How (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

Safe Reinforcement Learning With Model Uncertainty Estimates - Björn Lütjens; Michael Everett; Jonathan P. How (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

Planning Beyond The Sensing Horizon Using a Learned Context - Michael Everett; Justin Miller; Jonathan P. How (2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, 2019)

FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments - Jesus Tordesillas; Brett Thomas Lopez; Jonathan P. How (2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, 2019)

Policy Distillation and Value Matching in Multiagent Reinforcement Learning - Samir Wadhwania; Dong-Ki Kim; Shayegan Omidshafiei; Jonathan P. How (2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, 2019)

Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees - Yulun Tian; Kasra Khosoussi; Jonathan P. How (CoRR, 2019)

CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-Agent Data Association - Kaveh Fathian; Kasra Khosoussi; Parker C. Lusk; Yulun Tian; Jonathan P. How (CoRR, 2019)

Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning - Macheng Shen; Jonathan P. How (CoRR, 2019)

Block-Coordinate Minimization for Large SDPs with Block-Diagonal Constraints - Yulun Tian; Kasra Khosoussi; Jonathan P. How (CoRR, 2019)

Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning - Dong-Ki Kim; Miao Liu; Shayegan Omidshafiei; Sebastian Lopez-Cot; Matthew Riemer; Golnaz Habibi; Gerald Tesauro; Sami Mourad; Murray Campbell; Jonathan P. How (CoRR, 2019)

FaSTraP: Fast and Safe Trajectory Planner for Flights in Unknown Environments - Jesus Tordesillas; Brett Thomas Lopez; Jonathan P. How (CoRR, 2019)

Policy Distillation and Value Matching in Multiagent Reinforcement Learning - Samir Wadhwania; Dong-Ki Kim; Shayegan Omidshafiei; Jonathan P. How (CoRR, 2019)

A Resource-Aware Approach to Collaborative Loop Closure Detection with Provable Performance Guarantees - Yulun Tian; Kasra Khosoussi; Jonathan P. How (CoRR, 2019)

Dynamic Tube MPC for Nonlinear Systems - Brett Thomas Lopez; Jean-Jacques E. Slotine; Jonathan P. How (CoRR, 2019)

Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators - Kristoffer M. Frey; Ted J. Steiner; Jonathan P. How (CoRR, 2019)

Planning Beyond the Sensing Horizon Using a Learned Context - Michael Everett; Justin Miller; Jonathan P. How (CoRR, 2019)

Search and Rescue under the Forest Canopy using Multiple UAVs - Yulun Tian; Katherine Liu; Kyel Ok; Loc D. Tran; Danette Allen; Nicholas Roy; Jonathan P. How (CoRR, 2019)

Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning - Arpan Kusari; Jonathan P. How (CoRR, 2019)

Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games - Macheng Shen; Jonathan P. How (CoRR, 2019)

Dynamic Landing of an Autonomous Quadrotor on a Moving Platform in Turbulent Wind Conditions - Aleix Paris; Brett Thomas Lopez; Jonathan P. How (CoRR, 2019)

Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning - Michael Everett; Yu Fan Chen; Jonathan P. How (CoRR, 2019)

Certified Adversarial Robustness for Deep Reinforcement Learning - Björn Lütjens; Michael Everett; Jonathan P. How (CoRR, 2019)

Block-Coordinate Descent on the Riemannian Staircase for Certifiably Correct Distributed Rotation and Pose Synchronization - Yulun Tian; Kasra Khosoussi; Jonathan P. How (CoRR, 2019)

Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections - Golnaz Habibi; Nikita Jaipuria; Jonathan P. How (CoRR, 2019)

Autonomous task allocation for multi-UAV systems based on the locust elastic behavior - Heba A. Kurdi; Ebtesam Aloboud; Maram Alalwan; Sarah Alhassan; Ebtehal T. Alotaibi; Guillermo Bautista; Jonathan P. How (Appl. Soft Comput., 2018)

Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties - John F. Quindlen; Ufuk Topcu; Girish Chowdhary; Jonathan P. How (2018 Annual American Control Conference, ACC 2018, Milwaukee, WI, USA, June 27-29, 2018, 2018)

Active Sampling for Closed-Loop Statistical Verification of Uncertain Nonlinear Systems - John F. Quindlen; Ufuk Topcu; Girish Chowdhary; Jonathan P. How (2018 Annual American Control Conference, ACC 2018, Milwaukee, WI, USA, June 27-29, 2018, 2018)

Crossmodal Attentive Skill Learner - Shayegan Omidshafiei; Dong-Ki Kim; Jason Pazis; Jonathan P. How (Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2018, Stockholm, Sweden, July 10-15, 2018, 2018)

Robust Powered Descent with Control Contraction Metrics - Brett Thomas Lopez; Jean-Jacques E. Slotine; Jonathan P. How (57th IEEE Conference on Decision and Control, CDC 2018, Miami, FL, USA, December 17-19, 2018, 2018)

Reference Drag Update Scheme in Shuttle Entry Guidance Using Range Allocator for Tight Constraints - Erin Evans; Stephen Thrasher; Jonathan P. How (16th European Control Conference, ECC 2018, Limassol, Cyprus, June 12-15, 2018, 2018)

Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed Loop Closure Detection - Matthew Giamou; Kasra Khosoussi; Jonathan P. How (2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, 2018)

Robust Collision Avoidance via Sliding Control - Brett Thomas Lopez; Jean-Jacques E. Slotine; Jonathan P. How (2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, 2018)

Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems - Trong Nghia Hoang; Yuchen Xiao; Kavinayan Sivakumar; Christopher Amato; Jonathan P. How (2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, 2018)

Complexity Analysis and Efficient Measurement Selection Primitives for High-Rate Graph SLAM - Kristoffer M. Frey; Ted J. Steiner; Jonathan P. How (2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, 2018)

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning - Michael Everett; Yu Fan Chen; Jonathan P. How (2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, 2018)

Transferable Pedestrian Motion Prediction Models at Intersections - Macheng Shen; Golnaz Habibi; Jonathan P. How (2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, 2018)

Search and Rescue Under the Forest Canopy Using Multiple UAS - Yulun Tian; Katherine Liu; Kyel Ok; Loc D. Tran; Danette Allen; Nicholas Roy; Jonathan P. How (Proceedings of the 2018 International Symposium on Experimental Robotics, ISER 2018, Buenos Aires, Argentina, November 5-8, 2018, 2018)

Learning in the Curbside Coordinate Frame for a Transferable Pedestrian Trajectory Prediction Model - Nikita Jaipuria; Golnaz Habibi; Jonathan P. How (21st International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, HI, USA, November 4-7, 2018, 2018)

Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection - Yulun Tian; Kasra Khosoussi; Matthew Giamou; Jonathan P. How; Jonathan Kelly (Robotics: Science and Systems XIV, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA, June 26-30, 2018, 2018)

Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees - Yulun Tian; Kasra Khosoussi; Jonathan P. How (Algorithmic Foundations of Robotics XIII, Proceedings of the 13th Workshop on the Algorithmic Foundations of Robotics, WAFR 2018, Mérida, Mexico, December 9-11, 2018, 2018)

Transferable Pedestrian Motion Prediction Models at Intersections - Macheng Shen; Golnaz Habibi; Jonathan P. How (CoRR, 2018)

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning - Michael Everett; Yu Fan Chen; Jonathan P. How (CoRR, 2018)

Learning to Teach in Cooperative Multiagent Reinforcement Learning - Shayegan Omidshafiei; Dong-Ki Kim; Miao Liu; Gerald Tesauro; Matthew Riemer; Christopher Amato; Murray Campbell; Jonathan P. How (CoRR, 2018)

Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems - Trong Nghia Hoang; Quang Minh Hoang; Kian Hsiang Low; Jonathan P. How (CoRR, 2018)

Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection - Yulun Tian; Kasra Khosoussi; Matthew Giamou; Jonathan P. How; Jonathan Kelly (CoRR, 2018)

Partial Replanning for Decentralized Dynamic Task Allocation - Noam Buckman; Han-Lim Choi; Jonathan P. How (CoRR, 2018)

A Transferable Pedestrian Motion Prediction Model for Intersections with Different Geometries - Nikita Jaipuria; Golnaz Habibi; Jonathan P. How (CoRR, 2018)

Context-Aware Pedestrian Motion Prediction In Urban Intersections - Golnaz Habibi; Nikita Jaipuria; Jonathan P. How (CoRR, 2018)

Efficient Constellation-Based Map-Merging for Semantic SLAM - Kristoffer M. Frey; Ted J. Steiner; Jonathan P. How (CoRR, 2018)

Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments - Jesus Tordesillas; Brett Thomas Lopez; John Carter; John Ware; Jonathan P. How (CoRR, 2018)

Safe Reinforcement Learning with Model Uncertainty Estimates - Björn Lütjens; Michael Everett; Jonathan P. How (CoRR, 2018)

Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions - Shayegan Omidshafiei; Ali-Akbar Agha-Mohammadi; Christopher Amato; Shih-Yuan Liu; Jonathan P. How; John Vian (Int. J. Robotics Res., 2017)

Decentralized Task Allocation Using Local Information Consistency Assumptions - Luke B. Johnson; Han-Lim Choi; Sameera S. Ponda; Jonathan P. How (J. Aerosp. Inf. Syst., 2017)

Online Regression for Data With Changepoints Using Gaussian Processes and Reusable Models - Robert C. Grande; Thomas J. Walsh; Girish Chowdhary; Sarah Ferguson; Jonathan P. How (IEEE Trans. Neural Networks Learn. Syst., 2017)

Two-Stage Focused Inference for Resource-Constrained Minimal Collision Navigation - Beipeng Mu; Liam Paull; Ali-Akbar Agha-Mohammadi; John J. Leonard; Jonathan P. How (IEEE Trans. Robotics, 2017)

Quickest change detection approach to optimal control in Markov decision processes with model changes - Taposh Banerjee; Miao Liu; Jonathan P. How (2017 American Control Conference, ACC 2017, Seattle, WA, USA, May 24-26, 2017, 2017)

Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures - Julian Straub; Trevor Campbell; Jonathan P. How; John W. Fisher III (2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017, 2017)

Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability - Shayegan Omidshafiei; Jason Pazis; Christopher Amato; Jonathan P. How; John Vian (Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, 2017)

Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning - Yu Fan Chen; Miao Liu; Michael Everett; Jonathan P. How (2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, 2017)

Scalable accelerated decentralized multi-robot policy search in continuous observation spaces - Shayegan Omidshafiei; Christopher Amato; Miao Liu; Michael Everett; Jonathan P. How; John Vian (2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, 2017)

Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations - Shayegan Omidshafiei; Shih-Yuan Liu; Michael Everett; Brett Thomas Lopez; Christopher Amato; Miao Liu; Jonathan P. How; John Vian (2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, 2017)

Predictive positioning and quality of service ridesharing for campus mobility on demand systems - Justin Miller; Jonathan P. How (2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, 2017)

Duckietown: An open, inexpensive and flexible platform for autonomy education and research - Liam Paull; Jacopo Tani; Heejin Ahn; Javier Alonso-Mora; Luca Carlone; Michal Cáp; Yu Fan Chen; Changhyun Choi; Jeff Dusek; Yajun Fang; Daniel Hoehener; Shih-Yuan Liu; et al. (2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, 2017)

Aggressive 3-D collision avoidance for high-speed navigation - Brett Thomas Lopez; Jonathan P. How (2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, 2017)

Socially aware motion planning with deep reinforcement learning - Yu Fan Chen; Michael Everett; Miao Liu; Jonathan P. How (2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017, 2017)

Aggressive collision avoidance with limited field-of-view sensing - Brett Thomas Lopez; Jonathan P. How (2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017, 2017)

Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions - Miao Liu; Kavinayan Sivakumar; Shayegan Omidshafiei; Christopher Amato; Jonathan P. How (2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017, 2017)

Stable laser interest point selection for place recognition in a forest - Matthew Giamou; Yaroslav Babich; Golnaz Habibi; Jonathan P. How (2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017, 2017)

Demand estimation and chance-constrained fleet management for ride hailing - Justin Miller; Jonathan P. How (2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017, 2017)

Planning and Learning under Uncertainty: Theory and Practice - Jonathan P. How (Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017, 2017)

Demand Estimation and Chance-Constrained Fleet Management for Ride Hailing - Justin Miller; Jonathan P. How (CoRR, 2017)

Dynamic Arrival Rate Estimation for Campus Mobility on Demand Network Graphs - Justin Miller; Andres Hasfura; Shih-Yuan Liu; Jonathan P. How (CoRR, 2017)

Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations - Shayegan Omidshafiei; Shih-Yuan Liu; Michael Everett; Brett Thomas Lopez; Christopher Amato; Miao Liu; Jonathan P. How; John Vian (CoRR, 2017)

Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces - Shayegan Omidshafiei; Christopher Amato; Miao Liu; Michael Everett; Jonathan P. How; John Vian (CoRR, 2017)

Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability - Shayegan Omidshafiei; Jason Pazis; Christopher Amato; Jonathan P. How; John Vian (CoRR, 2017)

Socially Aware Motion Planning with Deep Reinforcement Learning - Yu Fan Chen; Michael Everett; Miao Liu; Jonathan P. How (CoRR, 2017)

SLAM with Objects using a Nonparametric Pose Graph - Beipeng Mu; Shih-Yuan Liu; Liam Paull; John J. Leonard; Jonathan P. How (CoRR, 2017)

Active Sampling for Constrained Simulation-based Verification of Uncertain Nonlinear Systems - John F. Quindlen; Ufuk Topcu; Girish Chowdhary; Jonathan P. How (CoRR, 2017)

Active Sampling-based Binary Verification of Dynamical Systems - John F. Quindlen; Ufuk Topcu; Girish Chowdhary; Jonathan P. How (CoRR, 2017)

Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions - Miao Liu; Kavinayan Sivakumar; Shayegan Omidshafiei; Christopher Amato; Jonathan P. How (CoRR, 2017)

Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties - John F. Quindlen; Ufuk Topcu; Girish Chowdhary; Jonathan P. How (CoRR, 2017)

Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed SLAM Front-Ends - Matthew Giamou; Kasra Khosoussi; Jonathan P. How (CoRR, 2017)

Complexity Analysis and Efficient Measurement Selection Primitives for High-Rate Graph SLAM - Kristoffer M. Frey; Ted J. Steiner; Jonathan P. How (CoRR, 2017)

Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems - Trong Nghia Hoang; Yuchen Xiao; Kavinayan Sivakumar; Christopher Amato; Jonathan P. How (CoRR, 2017)

Crossmodal Attentive Skill Learner - Shayegan Omidshafiei; Dong-Ki Kim; Jason Pazis; Jonathan P. How (CoRR, 2017)

Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models - Hongchuan Wei; Wenjie Lu; Pingping Zhu; Silvia Ferrari; Miao Liu; Robert H. Klein; Shayegan Omidshafiei; Jonathan P. How (Autom., 2016)

Policy search for multi-robot coordination under uncertainty - Christopher Amato; George Dimitri Konidaris; Ariel Anders; Gabriel Cruz; Jonathan P. How; Leslie Pack Kaelbling (Int. J. Robotics Res., 2016)

Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments - Miao Liu; Christopher Amato; Emily P. Anesta; John Daniel Griffith; Jonathan P. How (Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA, 2016)

Region-of-convergence estimation for learning-based adaptive controllers - John F. Quindlen; Ufuk Topcu; Girish Chowdhary; Jonathan P. How (2016 American Control Conference, ACC 2016, Boston, MA, USA, July 6-8, 2016, 2016)

Adaptive mission planning for coupled human-robot teams - Christopher J. Shannon; Luke B. Johnson; Kimberly F. Jackson; Jonathan P. How (2016 American Control Conference, ACC 2016, Boston, MA, USA, July 6-8, 2016, 2016)

Information-based Active SLAM via topological feature graphs - Beipeng Mu; Matthew Giamou; Liam Paull; Ali-akbar Agha-mohammadi; John J. Leonard; Jonathan P. How (55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, NV, USA, December 12-14, 2016, 2016)

Duckietown: An Innovative Way to Teach Autonomy - Jacopo Tani; Liam Paull; Maria T. Zuber; Daniela Rus; Jonathan P. How; John J. Leonard; Andrea Censi (Educational Robotics in the Makers Era, EDUROBOTICS 2016, November 25, 2016, Athens, Greece, 2016)

Case Studies in Data-Driven Verification of Dynamical Systems - Alexandar Kozarev; John F. Quindlen; Jonathan P. How; Ufuk Topcu (Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control, HSCC 2016, Vienna, Austria, April 12-14, 2016, 2016)

Augmented dictionary learning for motion prediction - Yu Fan Chen; Miao Liu; Jonathan P. How (2016 IEEE International Conference on Robotics and Automation, ICRA 2016, Stockholm, Sweden, May 16-21, 2016, 2016)

Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs - Shayegan Omidshafiei; Ali-akbar Agha-mohammadi; Christopher Amato; Shih-Yuan Liu; Jonathan P. How; John Vian (2016 IEEE International Conference on Robotics and Automation, ICRA 2016, Stockholm, Sweden, May 16-21, 2016, 2016)

Autonomous drifting using simulation-aided reinforcement learning - Mark Cutler; Jonathan P. How (2016 IEEE International Conference on Robotics and Automation, ICRA 2016, Stockholm, Sweden, May 16-21, 2016, 2016)

Motion planning with diffusion maps - Yu Fan Chen; Shih-Yuan Liu; Miao Liu; Justin Miller; Jonathan P. How (2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016, Daejeon, South Korea, October 9-14, 2016, 2016)

Dynamic arrival rate estimation for campus Mobility On Demand network graphs - Justin Miller; Andres Hasfura; Shih-Yuan Liu; Jonathan P. How (2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016, Daejeon, South Korea, October 9-14, 2016, 2016)

SLAM with objects using a nonparametric pose graph - Beipeng Mu; Shih-Yuan Liu; Liam Paull; John J. Leonard; Jonathan P. How (2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016, Daejeon, South Korea, October 9-14, 2016, 2016)

Improving PAC Exploration Using the Median Of Means - Jason Pazis; Ronald Parr; Jonathan P. How (Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 2016)

Efficient Globally Optimal Point Cloud Alignment using Bayesian Nonparametric Mixtures - Julian Straub; Trevor Campbell; Jonathan P. How; John W. Fisher III (CoRR, 2016)

Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification - Shayegan Omidshafiei; Brett Thomas Lopez; Jonathan P. How; John Vian (CoRR, 2016)

Small-Variance Nonparametric Clustering on the Hypersphere - Julian Straub; Trevor Campbell; Jonathan P. How; John W. Fisher III (CoRR, 2016)

Quickest Change Detection Approach to Optimal Control in Markov Decision Processes with Model Changes - Taposh Banerjee; Miao Liu; Jonathan P. How (CoRR, 2016)

Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning - Yu Fan Chen; Miao Liu; Michael Everett; Jonathan P. How (CoRR, 2016)

Predictive Positioning and Quality Of Service Ridesharing for Campus Mobility On Demand Systems - Justin Miller; Jonathan P. How (CoRR, 2016)

A Situationally Aware Voice-commandable Robotic Forklift Working Alongside People in Unstructured Outdoor Environments - Matthew R. Walter; Matthew E. Antone; Ekapol Chuangsuwanich; Andrew Correa; Randall Davis; Luke Fletcher; Emilio Frazzoli; Yuli Friedman; James R. Glass; Jonathan P. How; Jeong hwan Jeon; Sertac Karaman; et al. (J. Field Robotics, 2015)

RLPy: a value-function-based reinforcement learning framework for education and research - Alborz Geramifard; Christoph Dann; Robert H. Klein; William Dabney; Jonathan P. How (J. Mach. Learn. Res., 2015)

Bayesian Nonparametric Adaptive Control Using Gaussian Processes - Girish Chowdhary; Hassan A. Kingravi; Jonathan P. How; Patricio A. Vela (IEEE Trans. Neural Networks Learn. Syst., 2015)

Bayesian Nonparametric Reward Learning From Demonstration - Bernard Michini; Thomas J. Walsh; Ali-akbar Agha-mohammadi; Jonathan P. How (IEEE Trans. Robotics, 2015)

Real-World Reinforcement Learning via Multifidelity Simulators - Mark Cutler; Thomas J. Walsh; Jonathan P. How (IEEE Trans. Robotics, 2015)

Importance-Weighted Adaptive Search for Multi-Class Targets - Gregory E. Newstadt; Beipeng Mu; Dennis L. Wei; Jonathan P. How; Alfred O. Hero III (IEEE Trans. Signal Process., 2015)

Health Aware Planning Under Uncertainty for Collaborating Heterogeneous Teams of Mobile Agents - N. Kemal Ure; Girish Chowdhary; Jonathan P. How; John Vian (Unmanned Syst., 2015)

Probabilistic Planning for Decentralized Multi-Robot Systems - Christopher Amato; George Dimitri Konidaris; Shayegan Omidshafiei; Ali-akbar Agha-mohammadi; Jonathan P. How; Leslie Pack Kaelbling (2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015)

Hybrid model reference adaptive control for unmatched uncertainties - John F. Quindlen; Girish Chowdhary; Jonathan P. How (American Control Conference, ACC 2015, Chicago, IL, USA, July 1-3, 2015, 2015)

Bayesian nonparametric set construction for robust optimization - Trevor Campbell; Jonathan P. How (American Control Conference, ACC 2015, Chicago, IL, USA, July 1-3, 2015, 2015)

Randomized Coordination Search for Scalable Multiagent Planning - N. Kemal Ure; Jonathan P. How; John Vian (Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015, Istanbul, Turkey, May 4-8, 2015, 2015)

Small-variance nonparametric clustering on the hypersphere - Julian Straub; Trevor Campbell; Jonathan P. How; John W. Fisher III (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, June 7-12, 2015, 2015)

Adaptive search for multi-class targets with heterogeneous importance - Beipeng Mu; Gregory E. Newstadt; Dennis L. Wei; Alfred O. Hero III; Jonathan P. How (18th International Conference on Information Fusion, FUSION 2015, Washington, DC, USA, July 6-9, 2015, 2015)

Planning for decentralized control of multiple robots under uncertainty - Christopher Amato; George Dimitri Konidaris; Gabriel Cruz; Christopher A. Maynor; Jonathan P. How; Leslie Pack Kaelbling (IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015, 2015)

Efficient reinforcement learning for robots using informative simulated priors - Mark Cutler; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015, 2015)

Decoupled multiagent path planning via incremental sequential convex programming - Yu Fan Chen; Mark Cutler; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015, 2015)

Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions - Shayegan Omidshafiei; Ali-akbar Agha-mohammadi; Christopher Amato; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015, 2015)

Stick-Breaking Policy Learning in Dec-POMDPs - Miao Liu; Christopher Amato; Xuejun Liao; Lawrence Carin; Jonathan P. How (Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, 2015)

Robust incremental SLAM with consistency-checking - Matthew C. Graham; Jonathan P. How; Donald E. Gustafson (2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015, Hamburg, Germany, September 28 - October 2, 2015, 2015)

Online heterogeneous multiagent learning under limited communication with applications to forest fire management - N. Kemal Ure; Shayegan Omidshafiei; Brett Thomas Lopez; Ali-akbar Agha-mohammadi; Jonathan P. How; John Vian (2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015, Hamburg, Germany, September 28 - October 2, 2015, 2015)

Streaming, Distributed Variational Inference for Bayesian Nonparametrics - Trevor Campbell; Julian Straub; John W. Fisher III; Jonathan P. How (Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, 2015)

Policy Search for Multi-Robot Coordination under Uncertainty - Christopher Amato; George Dimitri Konidaris; Ariel Anders; Gabriel Cruz; Jonathan P. How; Leslie Pack Kaelbling (Robotics: Science and Systems XI, Sapienza University of Rome, Rome, Italy, July 13-17, 2015, 2015)

Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation - Beipeng Mu; Ali-akbar Agha-mohammadi; Liam Paull; Matthew C. Graham; Jonathan P. How; John J. Leonard (Robotics: Science and Systems XI, Sapienza University of Rome, Rome, Italy, July 13-17, 2015, 2015)

Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions - Shayegan Omidshafiei; Ali-akbar Agha-mohammadi; Christopher Amato; Jonathan P. How (CoRR, 2015)

Stick-Breaking Policy Learning in Dec-POMDPs - Miao Liu; Christopher Amato; Xuejun Liao; Lawrence Carin; Jonathan P. How (CoRR, 2015)

Information-based Active SLAM via Topological Feature Graphs - Beipeng Mu; Liam Paull; Ali-akbar Agha-mohammadi; John J. Leonard; Jonathan P. How (CoRR, 2015)

Streaming, Distributed Variational Inference for Bayesian Nonparametrics - Trevor Campbell; Julian Straub; John W. Fisher III; Jonathan P. How (CoRR, 2015)

Efficient distributed sensing using adaptive censoring-based inference - Beipeng Mu; Girish Chowdhary; Jonathan P. How (Autom., 2014)

Special Issue on Aerospace and Mechanical Applications of Reinforcement Learning and Adaptive Learning Based Control - Jonathan P. How; Girish Chowdhary; Thomas J. Walsh (J. Aerosp. Inf. Syst., 2014)

Experimental Validation of Bayesian Nonparametric Adaptive Control Using Gaussian Processes - Robert C. Grande; Girish Chowdhary; Jonathan P. How (J. Aerosp. Inf. Syst., 2014)

Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams - Scaling Up the Multiagent Planning with Distributed Learning and Approximate Representations - N. Kemal Ure; Girish Chowdhary; Yu Fan Chen; Jonathan P. How; John Vian (J. Intell. Robotic Syst., 2014)

An optimizing sampling-based motion planner with guaranteed robustness to bounded uncertainty - Brandon D. Luders; Jonathan P. How (American Control Conference, ACC 2014, Portland, OR, USA, June 4-6, 2014, 2014)

Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management - Yu Fan Chen; N. Kemal Ure; Girish Chowdhary; Jonathan P. How; John Vian (American Control Conference, ACC 2014, Portland, OR, USA, June 4-6, 2014, 2014)

Convergence analysis of the Hybrid Information and Plan Consensus Algorithm - Luke B. Johnson; Han-Lim Choi; Jonathan P. How (American Control Conference, ACC 2014, Portland, OR, USA, June 4-6, 2014, 2014)

Potential Game-Theoretic Analysis of a Market-Based Decentralized Task Allocation Algorithm - Han-Lim Choi; Keum-Seong Kim; Luke B. Johnson; Jonathan P. How (Distributed Autonomous Robotic Systems - The 12th International Symposium, DARS 2014, Daejeon, Korea, November 2-5, 2014, 2014)

The Hybrid Information and Plan Consensus Algorithm with Imperfect Situational Awareness - Luke B. Johnson; Han-Lim Choi; Jonathan P. How (Distributed Autonomous Robotic Systems - The 12th International Symposium, DARS 2014, Daejeon, Korea, November 2-5, 2014, 2014)

Sample Efficient Reinforcement Learning with Gaussian Processes - Robert C. Grande; Thomas J. Walsh; Jonathan P. How (Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014, 2014)

Human aware UAS path planning in urban environments using nonstationary MDPs - Rakshit Allamaraju; Hassan A. Kingravi; Allan Axelrod; Girish Chowdhary; Robert C. Grande; Jonathan P. How; Christopher Crick; Weihua Sheng (2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, May 31 - June 7, 2014, 2014)

Reinforcement learning with multi-fidelity simulators - Mark Cutler; Thomas J. Walsh; Jonathan P. How (2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, May 31 - June 7, 2014, 2014)

Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models - Hongchuan Wei; Wenjie Lu; Pingping Zhu; Silvia Ferrari; Robert H. Klein; Shayegan Omidshafiei; Jonathan P. How (2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014, Chicago, IL, USA, September 14-18, 2014, 2014)

Health aware stochastic planning for persistent package delivery missions using quadrotors - Ali-akbar Agha-mohammadi; N. Kemal Ure; Jonathan P. How; John Vian (2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014, Chicago, IL, USA, September 14-18, 2014, 2014)

Approximate Decentralized Bayesian Inference - Trevor Campbell; Jonathan P. How (Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, UAI 2014, Quebec City, Quebec, Canada, July 23-27, 2014, 2014)

Quantifying Nonlocal Informativeness in High-Dimensional, Loopy Gaussian Graphical Models - Daniel S. Levine; Jonathan P. How (Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, UAI 2014, Quebec City, Quebec, Canada, July 23-27, 2014, 2014)

Real-Time Predictive Modeling and Robust Avoidance of Pedestrians with Uncertain, Changing Intentions - Sarah Ferguson; Brandon Luders; Robert C. Grande; Jonathan P. How (Algorithmic Foundations of Robotics XI - Selected Contributions of the Eleventh International Workshop on the Algorithmic Foundations of Robotics, WAFR 2014, 3-5 August 2014, Boğaziçi University, İstanbul, Turkey, 2014)

Planning for Decentralized Control of Multiple Robots Under Uncertainty - Christopher Amato; George Dimitri Konidaris; Gabriel Cruz; Christopher A. Maynor; Jonathan P. How; Leslie Pack Kaelbling (CoRR, 2014)

Decentralized Variational Bayesian Inference - Trevor Campbell; Jonathan P. How (CoRR, 2014)

Real-Time Predictive Modeling and Robust Avoidance of Pedestrians with Uncertain, Changing Intentions - Sarah Ferguson; Brandon Luders; Robert C. Grande; Jonathan P. How (CoRR, 2014)

Resource-Constrained Adaptive Search for Sparse Multi-Class Targets with Varying Importance - Gregory E. Newstadt; Beipeng Mu; Dennis L. Wei; Jonathan P. How; Alfred O. Hero III (CoRR, 2014)

Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns - Georges Aoude; Brandon Luders; Joshua Mason Joseph; Nicholas Roy; Jonathan P. How (Auton. Robots, 2013)

A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning - Alborz Geramifard; Thomas J. Walsh; Stefanie Tellex; Girish Chowdhary; Nicholas Roy; Jonathan P. How (Found. Trends Mach. Learn., 2013)

Information-Theoretic Motion Planning for Constrained Sensor Networks - Daniel S. Levine; Brandon Luders; Jonathan P. How (J. Aerosp. Inf. Syst., 2013)

Intelligent Cooperative Control Architecture: A Framework for Performance Improvement Using Safe Learning - Alborz Geramifard; Josh Redding; Jonathan P. How (J. Intell. Robotic Syst., 2013)

An outer-approximation approach for information-maximizing sensor selection - Han-Lim Choi; Jonathan P. How; Paul I. Barton (Optim. Lett., 2013)

Multiagent allocation of Markov decision process tasks - Trevor Campbell; Luke B. Johnson; Jonathan P. How (American Control Conference, ACC 2013, Washington, DC, USA, June 17-19, 2013, 2013)

Bayesian nonparametric adaptive control of time-varying systems using Gaussian processes - Girish Chowdhary; Hassan A. Kingravi; Jonathan P. How; Patricio A. Vela (American Control Conference, ACC 2013, Washington, DC, USA, June 17-19, 2013, 2013)

Risk allocation strategies for distributed chance-constrained task allocation - Sameera S. Ponda; Luke B. Johnson; Jonathan P. How (American Control Conference, ACC 2013, Washington, DC, USA, June 17-19, 2013, 2013)

Efficient distributed sensing using adaptive censoring based inference - Beipeng Mu; Girish Chowdhary; Jonathan P. How (American Control Conference, ACC 2013, Washington, DC, USA, June 17-19, 2013, 2013)

Nonparametric adaptive control using Gaussian Processes with online hyperparameter estimation - Robert C. Grande; Girish Chowdhary; Jonathan P. How (Proceedings of the 52nd IEEE Conference on Decision and Control, CDC 2013, Florence, Italy, December 10-13, 2013, 2013)

A concurrent learning adaptive-optimal control architecture for nonlinear systems - Girish Chowdhary; Maximilian Mühlegg; Jonathan P. How; Florian Holzapfel (Proceedings of the 52nd IEEE Conference on Decision and Control, CDC 2013, Florence, Italy, December 10-13, 2013, 2013)

A Bayesian nonparametric approach to adaptive control using Gaussian Processes - Girish Chowdhary; Hassan A. Kingravi; Jonathan P. How; Patricio A. Vela (Proceedings of the 52nd IEEE Conference on Decision and Control, CDC 2013, Florence, Italy, December 10-13, 2013, 2013)

Health Aware Planning under uncertainty for UAV missions with heterogeneous teams - N. Kemal Ure; Girish Chowdhary; Jonathan P. How; Matthew A. Vavrina; John Vian (12th European Control Conference, ECC 2013, Zurich, Switzerland, July 17-19, 2013, 2013)

Scalable reward learning from demonstration - Bernard Michini; Mark Cutler; Jonathan P. How (2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, May 6-10, 2013, 2013)

Reinforcement learning with misspecified model classes - Joshua Mason Joseph; Alborz Geramifard; John W. Roberts; Jonathan P. How; Nicholas Roy (2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, May 6-10, 2013, 2013)

Rapid transfer of controllers between UAVs using learning-based adaptive control - Girish Chowdhary; Tongbin Wu; Mark Cutler; Jonathan P. How (2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, May 6-10, 2013, 2013)

Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture - Trevor Campbell; Miao Liu; Brian Kulis; Jonathan P. How; Lawrence Carin (Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States, 2013)

Sensor Selection in High-Dimensional Gaussian Trees with Nuisances - Daniel S. Levine; Jonathan P. How (Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States, 2013)

Batch-iFDD for Representation Expansion in Large MDPs - Alborz Geramifard; Thomas J. Walsh; Nicholas Roy; Jonathan P. How (Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, UAI 2013, Bellevue, WA, USA, August 11-15, 2013, 2013)

Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture - Trevor Campbell; Miao Liu; Brian Kulis; Jonathan P. How (CoRR, 2013)

Batch-iFDD for Representation Expansion in Large MDPs - Alborz Geramifard; Thomas J. Walsh; Nicholas Roy; Jonathan P. How (CoRR, 2013)

Guaranteed infinite horizon avoidance of unpredictable, dynamically constrained obstacles - Albert Wu; Jonathan P. How (Auton. Robots, 2012)

Decentralized path planning for multi-agent teams with complex constraints - Vishnu Desaraju; Jonathan P. How (Auton. Robots, 2012)

A hyperparameter consensus method for agreement under uncertainty - Cameron S. R. Fraser; Luca F. Bertuccelli; Han-Lim Choi; Jonathan P. How (Autom., 2012)

Operator Object Function Guidance for a Real-Time Unmanned Vehicle Scheduling Algorithm - Andrew S. Clare; Mary L. Cummings; Jonathan P. How; Andrew K. Whitten; Olivier Toupet (J. Aerosp. Comput. Inf. Commun., 2012)

Guest Editorial: Communications Challenges and Dynamics for Unmanned Autonomous Vehicles - Gerard Parr; Steve Hailes; Jonathan P. How; Joe McGeehan; Y. Jay Guo (IEEE J. Sel. Areas Commun., 2012)

Distributed Planning Strategies to Ensure Network Connectivity for Dynamic Heterogeneous Teams - Sameera S. Ponda; Luke B. Johnson; Andrew N. Kopeikin; Han-Lim Choi; Jonathan P. How (IEEE J. Sel. Areas Commun., 2012)

The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control - Mary L. Cummings; Jonathan P. How; Andrew K. Whitten; Olivier Toupet (Proc. IEEE, 2012)

Driver Behavior Classification at Intersections and Validation on Large Naturalistic Data Set - Georges Aoude; Vishnu Desaraju; Lauren H. Stephens; Jonathan P. How (IEEE Trans. Intell. Transp. Syst., 2012)

Model estimation within planning and learning - Alborz Geramifard; Joshua D. Redding; Joshua Mason Joseph; Nicholas Roy; Jonathan P. How (American Control Conference, ACC 2012, Montreal, QC, Canada, June 27-29, 2012, 2012)

Distributed chance-constrained task allocation for autonomous multi-agent teams - Sameera S. Ponda; Luke B. Johnson; Jonathan P. How (American Control Conference, ACC 2012, Montreal, QC, Canada, June 27-29, 2012, 2012)

Scalable, MDP-based planning for multiple, cooperating agents - Joshua D. Redding; N. Kemal Ure; Jonathan P. How; Matthew A. Vavrina; John Vian (American Control Conference, ACC 2012, Montreal, QC, Canada, June 27-29, 2012, 2012)

Allowing non-submodular score functions in distributed task allocation - Luke B. Johnson; Han-Lim Choi; Sameera S. Ponda; Jonathan P. How (Proceedings of the 51th IEEE Conference on Decision and Control, CDC 2012, December 10-13, 2012, Maui, HI, USA, 2012)

Multi-UAV network control through dynamic task allocation: Ensuring data-rate and bit-error-rate support - Andrew N. Kopeikin; Sameera S. Ponda; Luke B. Johnson; Jonathan P. How (Workshops Proceedings of the Global Communications Conference, GLOBECOM 2012, 3-7 December 2012, Anaheim, California, USA, 2012)

Improving the efficiency of Bayesian inverse reinforcement learning - Bernard Michini; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2012, 14-18 May, 2012, St. Paul, Minnesota, USA, 2012)

Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery - N. Kemal Ure; Alborz Geramifard; Girish Chowdhary; Jonathan P. How (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II, 2012)

Bayesian Nonparametric Inverse Reinforcement Learning - Bernard Michini; Jonathan P. How (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II, 2012)

Active Exploration in Robust Unmanned Vehicle Task Assignment - Luca F. Bertuccelli; Jonathan P. How (J. Aerosp. Comput. Inf. Commun., 2011)

Cooperative Distributed Robust Trajectory Optimization Using Receding Horizon MILP - Yoshiaki Kuwata; Jonathan P. How (IEEE Trans. Control. Syst. Technol., 2011)

Efficient Targeting of Sensor Networks for Large-Scale Systems - Han-Lim Choi; Jonathan P. How (IEEE Trans. Control. Syst. Technol., 2011)

Throughput Optimization in Mobile Backbone Networks - Emily M. Craparo; Jonathan P. How; Eytan H. Modiano (IEEE Trans. Mob. Comput., 2011)

Decentralized task allocation with coupled constraints in complex missions - Andrew K. Whitten; Han-Lim Choi; Luke B. Johnson; Jonathan P. How (American Control Conference, ACC 2011, San Francisco, CA, USA, June 29 - July 1, 2011, 2011)

Proactive planning for persistent missions using composite model-reference adaptive control and approximate dynamic programming - Joshua D. Redding; Zac Dydek; Jonathan P. How; Matthew A. Vavrina; John Vian (American Control Conference, ACC 2011, San Francisco, CA, USA, June 29 - July 1, 2011, 2011)

UAV cooperative control with stochastic risk models - Alborz Geramifard; Joshua D. Redding; Nicholas Roy; Jonathan P. How (American Control Conference, ACC 2011, San Francisco, CA, USA, June 29 - July 1, 2011, 2011)

Region of attraction comparison for gradient projection anti-windup compensated systems - Justin Teo; Jonathan P. How (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

Real-time dynamic planning to maintain network connectivity in a team of unmanned air vehicles - Andrew N. Kopeikin; Sameera S. Ponda; Luke B. Johnson; Olivier Toupet; Jonathan P. How (Workshops Proceedings of the Global Communications Conference, GLOBECOM 2011, 5-9 December 2011, Houston, Texas, USA, 2011)

Online Discovery of Feature Dependencies - Alborz Geramifard; Finale Doshi; Josh Redding; Nicholas Roy; Jonathan P. How (Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011, 2011)

A decentralized approach to multi-agent planning in the presence of constraints and uncertainty - Aditya Undurti; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2011, Shanghai, China, 9-13 May 2011, 2011)

Design and flight testing of an autonomous variable-pitch quadrotor - Buddy Michini; Josh Redding; N. Kemal Ure; Mark Cutler; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2011, Shanghai, China, 9-13 May 2011, 2011)

Decentralized path planning for multi-agent teams in complex environments using rapidly-exploring random trees - Vishnu Desaraju; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2011, Shanghai, China, 9-13 May 2011, 2011)

Behavior classification algorithms at intersections and validation using naturalistic data - Georges Aoude; Vishnu Desaraju; Lauren H. Stephens; Jonathan P. How (IEEE Intelligent Vehicles Symposium (IV), 2011, Baden-Baden, Germany, June 5-9, 2011, 2011)

Continuous trajectory planning of mobile sensors for informative forecasting - Han-Lim Choi; Jonathan P. How (Autom., 2010)

Proportional-Integral Controllers for Minimum-Phase Nonaffine-in-Control Systems - Justin Teo; Jonathan P. How; Eugene Lavretsky (IEEE Trans. Autom. Control., 2010)

Actor-Critic Policy Learning in Cooperative Planning - Josh Redding; Alborz Geramifard; Jonathan P. How (Embedded Reasoning, Papers from the 2010 AAAI Spring Symposium, Technical Report SS-10-04, Stanford, California, USA, March 22-24, 2010, 2010)

An intelligent Cooperative Control Architecture - Joshua D. Redding; Alborz Geramifard; Aditya Undurti; Han-Lim Choi; Jonathan P. How (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

Agent capability in persistent mission planning using approximate dynamic programming - Brett Bethke; Joshua D. Redding; Jonathan P. How; Matthew A. Vavrina; John Vian (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

Stability analysis for class of switched nonlinear systems - Hamid Reza Shaker; Jonathan P. How (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

Decentralized task allocation for heterogeneous teams with cooperation constraints - Han-Lim Choi; Andrew K. Whitten; Jonathan P. How (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

A hyperparameter-based approach for consensus under uncertainties - Cameron S. R. Fraser; Luca F. Bertuccelli; Han-Lim Choi; Jonathan P. How (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

Decentralized planning for complex missions with dynamic communication constraints - Sameera S. Ponda; Josh Redding; Han-Lim Choi; Jonathan P. How; Matthew A. Vavrina; John Vian (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

Approximate dynamic programming using model-free Bellman Residual Elimination - Brett Bethke; Jonathan P. How (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

Bounds on tracking error using closed-loop rapidly-exploring random trees - Brandon D. Luders; Sertac Karaman; Emilio Frazzoli; Jonathan P. How (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

Analysis of gradient projection anti-windup scheme - Justin Teo; Jonathan P. How (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

Geometric properties of gradient projection anti-windup compensated systems - Justin Teo; Jonathan P. How (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

Analysis of mutual information for informative forecasting using mobile sensors - Han-Lim Choi; Jonathan P. How (11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010, Singapore, 7-10 December 2010, Proceedings, 2010)

A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments - Seth J. Teller; Matthew R. Walter; Matthew E. Antone; Andrew Correa; Randall Davis; Luke Fletcher; Emilio Frazzoli; Jim Glass; Jonathan P. How; Albert S. Huang; Jeong hwan Jeon; Sertac Karaman; et al. (IEEE International Conference on Robotics and Automation, ICRA 2010, Anchorage, Alaska, USA, 3-7 May 2010, 2010)

An online algorithm for constrained POMDPs - Aditya Undurti; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2010, Anchorage, Alaska, USA, 3-7 May 2010, 2010)

Threat-aware path planning in uncertain urban environments - Georges Aoude; Brandon Luders; Daniel S. Levine; Jonathan P. How (2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 18-22, 2010, Taipei, Taiwan, 2010)

Threat assessment design for driver assistance system at intersections - Georges Aoude; Brandon D. Luders; Kenneth K. H. Lee; Daniel S. Levine; Jonathan P. How (13th International IEEE Conference on Intelligent Transportation Systems, Funchal, Madeira, Portugal, 19-22 September 2010, 2010)

Increasing autonomy of UAVs - Jonathan P. How; Cameron S. R. Fraser; Karl C. Kulling; Luca F. Bertuccelli; Olivier Toupet; Luc Brunet; Abraham Bachrach; Nicholas Roy (IEEE Robotics Autom. Mag., 2009)

Real-Time Motion Planning With Applications to Autonomous Urban Driving - Yoshiaki Kuwata; Sertac Karaman; Justin Teo; Emilio Frazzoli; Jonathan P. How; Gaston A. Fiore (IEEE Trans. Control. Syst. Technol., 2009)

Consensus-Based Decentralized Auctions for Robust Task Allocation - Han-Lim Choi; Luc Brunet; Jonathan P. How (IEEE Trans. Robotics, 2009)

Approximate dynamic programming using Bellman residual elimination and Gaussian process regression - Brett Bethke; Jonathan P. How (American Control Conference, ACC 2009. St. Louis, Missouri, USA, June 10-12, 2009, 2009)

Robust adaptive Markov Decision Processes in multi-vehicle applications - Luca F. Bertuccelli; Brett Bethke; Jonathan P. How (American Control Conference, ACC 2009. St. Louis, Missouri, USA, June 10-12, 2009, 2009)

On Approximate Dynamic Inversion and Proportional-Integral control - Justin Teo; Jonathan P. How; Eugene Lavretsky (American Control Conference, ACC 2009. St. Louis, Missouri, USA, June 10-12, 2009, 2009)

On the roles of smoothing in planning of informative paths - Han-Lim Choi; Jonathan P. How (American Control Conference, ACC 2009. St. Louis, Missouri, USA, June 10-12, 2009, 2009)

Anti-windup compensation for nonlinear systems via gradient projection: Application to adaptive control - Justin Teo; Jonathan P. How (Proceedings of the 48th IEEE Conference on Decision and Control, CDC 2009, combined withe the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China, 2009)

A Perception-Driven Autonomous Urban Vehicle - John J. Leonard; Jonathan P. How; Seth J. Teller; Mitch Berger; Stefan Campbell; Gaston A. Fiore; Luke Fletcher; Emilio Frazzoli; Albert S. Huang; Sertac Karaman; Olivier Koch; Yoshiaki Kuwata; et al. (The DARPA Urban Challenge: Autonomous Vehicles in City Traffic, George Air Force Base, Victorville, California, USA, 2009)

The MIT - Cornell Collision and Why It Happened - Luke Fletcher; Seth J. Teller; Edwin Olson; David Moore; Yoshiaki Kuwata; Jonathan P. How; John J. Leonard; Isaac Miller; Mark E. Campbell; Dan Huttenlocher; Aaron Nathan; Frank-Robert Kline (The DARPA Urban Challenge: Autonomous Vehicles in City Traffic, George Air Force Base, Victorville, California, USA, 2009)

Vision-based guidance and control of a hovering vehicle in unknown, GPS-denied environments - Spencer Ahrens; Daniel S. Levine; Gregory Andrews; Jonathan P. How (2009 IEEE International Conference on Robotics and Automation, ICRA 2009, Kobe, Japan, May 12-17, 2009, 2009)

Unbiased Kalman Consensus Algorithm - Mehdi Alighanbari; Jonathan P. How (J. Aerosp. Comput. Inf. Commun., 2008)

A perception-driven autonomous urban vehicle - John J. Leonard; Jonathan P. How; Seth J. Teller; Mitch Berger; Stefan Campbell; Gaston A. Fiore; Luke Fletcher; Emilio Frazzoli; Albert S. Huang; Sertac Karaman; Olivier Koch; Yoshiaki Kuwata; et al. (J. Field Robotics, 2008)

The MIT-Cornell collision and why it happened - Luke Fletcher; Seth J. Teller; Edwin Olson; David Moore; Yoshiaki Kuwata; Jonathan P. How; John J. Leonard; Isaac Miller; Mark E. Campbell; Dan Huttenlocher; Aaron Nathan; Frank-Robert Kline (J. Field Robotics, 2008)

UAV Task Assignment - Brett Bethke; Mario J. Valenti; Jonathan P. How (IEEE Robotics Autom. Mag., 2008)

An outer-approximation algorithm for generalized maximum entropy sampling - Han-Lim Choi; Jonathan P. How; Paul I. Barton (American Control Conference, ACC 2008, Seattle, WA, USA, 11-13 June 2008, 2008)

Optimization of mobile backbone networks: Improved algorithms and approximation - Emily M. Craparo; Jonathan P. How; Eytan H. Modiano (American Control Conference, ACC 2008, Seattle, WA, USA, 11-13 June 2008, 2008)

Group health management of UAV teams with applications to persistent surveillance - Brett Bethke; Jonathan P. How; John Vian (American Control Conference, ACC 2008, Seattle, WA, USA, 11-13 June 2008, 2008)

Robust Markov Decision Processes using Sigma Point sampling - Luca F. Bertuccelli; Jonathan P. How (American Control Conference, ACC 2008, Seattle, WA, USA, 11-13 June 2008, 2008)

Estimation of non-stationary Markov Chain transition models - Luca F. Bertuccelli; Jonathan P. How (Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, 2008)

Simultaneous placement and assignment for exploration in mobile backbone networks - Emily M. Craparo; Jonathan P. How; Eytan H. Modiano (Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, 2008)

Continuous motion planning for information forecast - Han-Lim Choi; Jonathan P. How (Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, 2008)

Equivalence between Approximate Dynamic Inversion and Proportional-Integral control - Justin Teo; Jonathan P. How (Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, 2008)

Approximate dynamic programming using support vector regression - Brett Bethke; Jonathan P. How; Asuman E. Ozdaglar (Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, 2008)

Autonomous aircraft flight control for constrained environments - Jonathan P. How; James S. McGrew; Adrian A. Frank; George H. Hines (2008 IEEE International Conference on Robotics and Automation, ICRA 2008, May 19-23, 2008, Pasadena, California, USA, 2008)

Motion planning for urban driving using RRT - Yoshiaki Kuwata; Gaston A. Fiore; Justin Teo; Emilio Frazzoli; Jonathan P. How (2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, September 22-26, 2008, Acropolis Convention Center, Nice, France, 2008)

Robust distributed model predictive control - Arthur Richards; Jonathan P. How (Int. J. Control, 2007)

Distributed Robust Receding Horizon Control for Multivehicle Guidance - Yoshiaki Kuwata; Arthur Richards; Tom Schouwenaars; Jonathan P. How (IEEE Trans. Control. Syst. Technol., 2007)

Robust Cooperative Decentralized Trajectory Optimization using Receding Horizon MILP - Yoshiaki Kuwata; Jonathan P. How (American Control Conference, ACC 2007, New York, NY, USA, 9-13 July, 2007, 2007)

Ensemble-Based Adaptive Targeting of Mobile Sensor Networks - Han-Lim Choi; Jonathan P. How; James A. Hansen (American Control Conference, ACC 2007, New York, NY, USA, 9-13 July, 2007, 2007)

Robust Receding Horizon Control using Generalized Constraint Tightening - Yoshiaki Kuwata; Arthur Richards; Jonathan P. How (American Control Conference, ACC 2007, New York, NY, USA, 9-13 July, 2007, 2007)

Three-Dimensional Flight Experiments Using On-Line Mixed-Integer Linear Programming Trajectory Optimization - Kieran Culligan; Mario J. Valenti; Yoshiaki Kuwata; Jonathan P. How (American Control Conference, ACC 2007, New York, NY, USA, 9-13 July, 2007, 2007)

Embedding Health Management into Mission Tasking for UAV Teams - Mario J. Valenti; Brett Bethke; Jonathan P. How; Daniela Pucci de Farias; John Vian (American Control Conference, ACC 2007, New York, NY, USA, 9-13 July, 2007, 2007)

Adaptive Observation Strategies for Forecast Error Minimization - Nicholas Roy; Han-Lim Choi; Daniel Gombos; James A. Hansen; Jonathan P. How; Sooho Park (Computational Science - ICCS 2007, 7th International Conference Beijing, China, May 27-30, 2007, Proceedings, Part I, 2007)

The MIT Indoor Multi-Vehicle Flight Testbed - Mario J. Valenti; Brett Bethke; Daniel Dale; Adrian A. Frank; James S. McGrew; Spencer Ahrens; Jonathan P. How; John Vian (2007 IEEE International Conference on Robotics and Automation, ICRA 2007, 10-14 April 2007, Roma, Italy, 2007)

Experimental demonstration of coordinated control for multi-vehicle teams - Ellis King; Yoshiaki Kuwata; Jonathan P. How (Int. J. Syst. Sci., 2006)

An unbiased Kalman consensus algorithm - Mehdi Alighanbari; Jonathan P. How (American Control Conference, ACC 2006, Minneapolis, MN, USA, 14-16 June, 2006, 2006)

Search for dynamic targets with uncertain probability maps - Luca F. Bertuccelli; Jonathan P. How (American Control Conference, ACC 2006, Minneapolis, MN, USA, 14-16 June, 2006, 2006)

Decentralized inventory control for large-scale supply chains - Gökhan Inalhan; Jonathan P. How (American Control Conference, ACC 2006, Minneapolis, MN, USA, 14-16 June, 2006, 2006)

Decentralized robust receding horizon control for multi-vehicle guidance - Yoshiaki Kuwata; Arthur Richards; Tom Schouwenaars; Jonathan P. How (American Control Conference, ACC 2006, Minneapolis, MN, USA, 14-16 June, 2006, 2006)

Robust stable model predictive control with constraint tightening - Arthur Richards; Jonathan P. How (American Control Conference, ACC 2006, Minneapolis, MN, USA, 14-16 June, 2006, 2006)

Multi-vehicle path planning for non-line of sight communication - Tom Schouwenaars; Eric Feron; Jonathan P. How (American Control Conference, ACC 2006, Minneapolis, MN, USA, 14-16 June, 2006, 2006)

A Robust Approach to the UAV Task Assignment Problem - Mehdi Alighanbari; Luca F. Bertuccelli; Jonathan P. How (45th IEEE Conference on Decision and Control, CDC 2006, San Diego, CA, USA, December 13-15, 2006, 2006)

UAV Search for Dynamic Targets with Uncertain Motion Models - Luca F. Bertuccelli; Jonathan P. How (45th IEEE Conference on Decision and Control, CDC 2006, San Diego, CA, USA, December 13-15, 2006, 2006)

Decentralized Cooperative Trajectory Optimization for UAVs with Coupling Constraints - Yoshiaki Kuwata; Jonathan P. How (45th IEEE Conference on Decision and Control, CDC 2006, San Diego, CA, USA, December 13-15, 2006, 2006)

Formation flying control for the MMS mission using GVE-based MPC - Louis Breger; Jonathan P. How (Proceedings of 2005 IEEE Conference on Control Applications, CCA 2005, Toronto, ON, Canada, August 29-31, 2005, 2005)

Robust model predictive control with imperfect information - Arthur Richards; Jonathan P. How (American Control Conference, ACC 2005, Portland, OR, USA, 8-10 June, 2005, 2005)

Trajectory optimization for satellite reconfiguration maneuvers with position and attitude constraints - Ian Garcia; Jonathan P. How (American Control Conference, ACC 2005, Portland, OR, USA, 8-10 June, 2005, 2005)

Model predictive control of spacecraft formations with sensing noise - Louis Breger; Jonathan P. How; Arthur Richards (American Control Conference, ACC 2005, Portland, OR, USA, 8-10 June, 2005, 2005)

Mixed-integer programming for control - Arthur Richards; Jonathan P. How (American Control Conference, ACC 2005, Portland, OR, USA, 8-10 June, 2005, 2005)

Receding horizon implementation of MILP for vehicle guidance - Yoshiaki Kuwata; Jonathan P. How (American Control Conference, ACC 2005, Portland, OR, USA, 8-10 June, 2005, 2005)

Cooperative task assignment of unmanned aerial vehicles in adversarial environments - Mehdi Alighanbari; Jonathan P. How (American Control Conference, ACC 2005, Portland, OR, USA, 8-10 June, 2005, 2005)

Decentralized Task Assignment for Unmanned Aerial Vehicles - Mehdi Alighanbari; Jonathan P. How (44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, CDC/ECC 2005, Seville, Spain, 12-15 December, 2005, 2005)

Robust UAV Search for Environments with Imprecise Probability Maps - Luca F. Bertuccelli; Jonathan P. How (44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, CDC/ECC 2005, Seville, Spain, 12-15 December, 2005, 2005)

Improving the Efficiency of Rapidly-exploring Random Trees Using a Potential Function Planner - Ian Garcia; Jonathan P. How (44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, CDC/ECC 2005, Seville, Spain, 12-15 December, 2005, 2005)

Hybrid Model for Trajectory Planning of Agile Autonomous Vehicles - Tom Schouwenaars; Bernard Mettler; Eric Feron; Jonathan P. How (J. Aerosp. Comput. Inf. Commun., 2004)

Stable trajectory design for highly constrained environments using receding horizon control - Yoshiaki Kuwata; Jonathan P. How (Proceedings of the 2004 American Control Conference, ACC 2004, Boston, MA, USA, June 30 - July 2, 2004, 2004)

A decentralized algorithm for robust constrained model predictive control - Arthur Richards; Jonathan P. How (Proceedings of the 2004 American Control Conference, ACC 2004, Boston, MA, USA, June 30 - July 2, 2004, 2004)

Coordination and control experiments on a multi-vehicle testbed - Ellis King; Yoshiaki Kuwata; Mehdi Alighanbari; Luca F. Bertuccelli; Jonathan P. How (Proceedings of the 2004 American Control Conference, ACC 2004, Boston, MA, USA, June 30 - July 2, 2004, 2004)

Receding horizon path planning with implicit safety guarantees - Tom Schouwenaars; Jonathan P. How; Eric Feron (Proceedings of the 2004 American Control Conference, ACC 2004, Boston, MA, USA, June 30 - July 2, 2004, 2004)

Robust planning for coupled cooperative UAV missions - Luca F. Bertuccelli; Mehdi Alighanbari; Jonathan P. How (43rd IEEE Conference on Decision and Control, CDC 2004, Nassau, Bahamas, December 14-17, 2004, 2004)

Decentralized model predictive control of cooperating UAVs - Arthur Richards; Jonathan P. How (43rd IEEE Conference on Decision and Control, CDC 2004, Nassau, Bahamas, December 14-17, 2004, 2004)

Modeling and H\(_\(∞\)\) control for switched linear parameter-varying missile autopilot - Sungyung Lim; Jonathan P. How (IEEE Trans. Control. Syst. Technol., 2003)

Distributed coordination and control of formation flying spacecraft - Michael Tillerson; Louis Breger; Jonathan P. How (American Control Conference, ACC 2003, Denver, CO, USA, June 4-6 2003, 2003)

Robust motion planning using a maneuver automation with built-in uncertainties - Tom Schouwenaars; Bernard Mettler; Eric Feron; Jonathan P. How (American Control Conference, ACC 2003, Denver, CO, USA, June 4-6 2003, 2003)

Model predictive control of vehicle maneuvers with guaranteed completion time and robust feasibility - Arthur Richards; Jonathan P. How (American Control Conference, ACC 2003, Denver, CO, USA, June 4-6 2003, 2003)

Coordination and control of multiple UAVs with timing constraints and loitering - Mehdi Alighanbari; Yoshiaki Kuwata; Jonathan P. How (American Control Conference, ACC 2003, Denver, CO, USA, June 4-6 2003, 2003)

Synthesis of piecewise-affine controllers for stabilization of nonlinear systems - Luis Rodrigues; Jonathan P. How (42nd IEEE Conference on Decision and Control, CDC 2003, Maui, Hawaii, USA, December 9-12, 2003, 2003)

Aircraft trajectory planning with collision avoidance using mixed integer linear programming - Arthur Richards; Jonathan P. How (American Control Conference, ACC 2002, Anchorage, Alaska, USA, May 8-10 2002, 2002)

Advanced guidance algorithms for spacecraft formation-keeping - Michael Tillerson; Jonathan P. How (American Control Conference, ACC 2002, Anchorage, Alaska, USA, May 8-10 2002, 2002)

Receding horizon control of autonomous aerial vehicles - John S. Bellingham; Arthur Richards; Jonathan P. How (American Control Conference, ACC 2002, Anchorage, Alaska, USA, May 8-10 2002, 2002)

Cooperative path planning for multiple UAVs in dynamic and uncertain environments - John S. Bellingham; Michael Tillerson; Mehdi Alighanbari; Jonathan P. How (41st IEEE Conference on Decision and Control, CDC 2002, Las Vegas, NV, USA, December 10-13, 2002, 2002)

Estimation-based synthesis of H\(∞\)-optimal adaptive FIR filters for filtered-LMS problems - Bijan Sayyarrodsari; Jonathan P. How; Babak Hassibi; Alain Carrier (IEEE Trans. Signal Process., 2001)

Model free subspace based H\(_\(∞\)\) control - Bruce R. Woodley; Jonathan P. How; Robert L. Kosut (American Control Conference, ACC 2001, Arlington, VA, USA, 25-27 June, 2001, 2001)

Automated control design for a piecewise-affine approximation of a class of nonlinear systems - Luis Rodrigues; Jonathan P. How (American Control Conference, ACC 2001, Arlington, VA, USA, 25-27 June, 2001, 2001)

Analysis of the impact of sensor noise on formation flying control - Jonathan P. How; Michael Tillerson (American Control Conference, ACC 2001, Arlington, VA, USA, 25-27 June, 2001, 2001)

Observer-based control of piecewise-affine systems - Luis Rodrigues; Jonathan P. How (40th IEEE Conference on Decision and Control, CDC 2001, Orlando, FL, USA, 4-7 Dec., 2001, 2001)

Mixed integer programming for multi-vehicle path planning - Tom Schouwenaars; Bart De Moor; Eric Feron; Jonathan P. How (6th European Control Conference, ECC 2001, Porto, Portugal, September 4-7, 2001, 2001)

Output feedback controller synthesis for piecewise-affine systems with multiple equilibria - Luis Rodrigues; Arash Hassibi; Jonathan P. How (American Control Conference, ACC 2000, Chicago, Illinois, USA, 28-30 June, 2000, 2000)

Control with random communication delays via a discrete-time jump system approach - Lin Xiao; Arash Hassibi; Jonathan P. How (American Control Conference, ACC 2000, Chicago, Illinois, USA, 28-30 June, 2000, 2000)

Estimation-based multi-channel adaptive algorithm for filtered-LMS problems - Bijan Sayyarrodsari; Jonathan P. How; Babak Hassibi; Alain Carrier (American Control Conference, ACC 2000, Chicago, Illinois, USA, 28-30 June, 2000, 2000)

An Indoor Absolute Positioning System with No Line of Sight Restrictions and Building-Wide Coverage - Eric Prigge; Jonathan P. How (Proceedings of the 2000 IEEE International Conference on Robotics and Automation, ICRA 2000, April 24-28, 2000, San Francisco, CA, USA, 2000)

Optimal Popov controller analysis and synthesis for systems with real parameter uncertainties - Jonathan P. How; Emmanuel G. Collins Jr.; Wassim M. Haddad (IEEE Trans. Control. Syst. Technol., 1996)

Finite element model-based robust controllers for the middeck active control experiment (MACE) - Jonathan P. How; Roger Glaese; Simon C. O. Grocott; David W. Miller (IEEE Trans. Control. Syst. Technol., 1996)

Robust controllers for the Middeck Active Control Experiment using Popov controller synthesis - Jonathan P. How; Steven R. Hall; Wassim M. Haddad (IEEE Trans. Control. Syst. Technol., 1994)

Elimination of False-Locking in Long Loop Phase-Locked Receivers - Joseph P. McGeehan; Jonathan P. How (IEEE Trans. Commun., 1982)