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

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

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

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

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

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

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

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

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

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

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

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

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

REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots. - Tagliabue, Andrea; Kondo, Kota; Zhao, Tong; Peterson, Mason B.; Tewari, Claudius T.; How, Jonathan P. (2024)

Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. - Rober, Nicholas; Mahesh, Karan; Paine, Tyler M.; Greene, Max L.; Lee, Steven; Monteiro, Sildomar T.; Benjamin, Michael R.; How, Jonathan P. (2024)

PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment. - Kondo, Kota; Tewari, Claudius T.; Peterson, Mason B.; Thomas, Annika; Kinnari, Jouko; Tagliabue, Andrea; How, Jonathan P. (2024)

Look Before You Leap: Socially Acceptable High-Speed Ground Robot Navigation in Crowded Hallways. - Sharma, Lakshay; Buono, Nicolaniello; Flather, Ashton; Cai, Xiaoyi; How, Jonathan P. (2024)

SOS-Match: Segmentation for Open-Set Robust Correspondence Search and Robot Localization in Unstructured Environments. - Thomas, Annika; Kinnari, Jouko; Lusk, Parker C.; Kondo, Kota; How, Jonathan P. (2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. - Rober, Nicholas; Everett, Michael; Zhang, Songan; How, Jonathan P. (2023)

Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay. - Kondo, Kota; Tordesillas, Jesus; Figueroa, Reinaldo; Rached, Juan; Merkel, Joseph; Lusk, Parker C.; How, Jonathan P. (2023)

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

Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC. - Tagliabue, Andrea; Hsiao, Yi-Hsuan; Fasel, Urban; Kutz, J. Nathan; Brunton, Steven L.; Chen, YuFeng; How, Jonathan P. (2023)

RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation. - Sharma, Lakshay; Everett, Michael; Lee, Donggun; Cai, Xiaoyi; Osteen, Philip R.; How, Jonathan P. (2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Context-Specific Representation Abstraction for Deep Option Learning. - Abdulhai, Marwa; Kim, Dong-Ki; Riemer, Matthew; Liu, Miao; Tesauro, Gerald; How, Jonathan P. (2022)

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

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

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

Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. - Tagliabue, Andrea; Kim, Dong-Ki; Everett, Michael; How, Jonathan P. (2022)

ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. - Sun, Chuangchuang; Kim, Dong-Ki; How, Jonathan P. (2022)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning. - Shen, Macheng; How, Jonathan P. (2021)

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

Cooperative Model-Based Reinforcement Learning for Approximate Optimal Tracking. - Greene, Max L.; Bell, Zachary I.; Nivison, Scott A.; How, Jonathan P.; Dixon, Warren E. (2021)

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. - Kim, Dong-Ki; Liu, Miao; Riemer, Matthew; Sun, Chuangchuang; Abdulhai, Marwa; Habibi, Golnaz; Lopez-Cot, Sebastian; Tesauro, Gerald; How, Jonathan P. (2021)

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

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

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

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

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

FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimizer. - Sun, Chuangchuang; Kim, Dong-Ki; How, Jonathan P. (2021)

Kimera-Multi: a System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping. - Chang, Yun; Tian, Yulun; How, Jonathan P.; Carlone, Luca (2021)

CLIPPER: A Graph-Theoretic Framework for Robust Data Association. - Lusk, Parker C.; Fathian, Kaveh; How, Jonathan P. (2021)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Learning Hierarchical Teaching Policies for Cooperative Agents. - Kim, Dong-Ki; Liu, Miao; Omidshafiei, Shayegan; Lopez-Cot, Sebastian; Riemer, Matthew; Habibi, Golnaz; Tesauro, Gerald; Mourad, Sami; Campbell, Murray; How, Jonathan P. (2020)

SILA: An Incremental Learning Approach for Pedestrian Trajectory Prediction. - Habibi, Golnaz; Jaipuria, Nikita; How, Jonathan P. (2020)

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

Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning. - Kusari, Arpan; How, Jonathan P. (2020)

Dynamic Landing of an Autonomous Quadrotor on a Moving Platform in Turbulent Wind Conditions. - Paris, Aleix; Lopez, Brett Thomas; How, Jonathan P. (2020)

A Whisker-inspired Fin Sensor for Multi-directional Airflow Sensing. - Kim, Suhan; Kubicek, Regan; Paris, Aleix; Tagliabue, Andrea; How, Jonathan P.; Bergbreiter, Sarah (2020)

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

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

LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments. - Tagliabue, Andrea; Tordesillas, Jesus; Cai, Xiaoyi; Santamaria-Navarro, Angel; How, Jonathan P.; Carlone, Luca; Agha-mohammadi, Ali-akbar (2020)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture Models. - Campbell, Trevor; Kulis, Brian; How, Jonathan P. (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]. - Clement, Lee E.; Peretroukhin, Valentin; Giamou, Matthew; Leonard, John J.; Kress-Gazit, Hadas; How, Jonathan P.; Milford, Michael; Brock, Oliver; Gariepy, Ryan; Roy, Nicholas; Siegel, Hallie; Righetti, Ludovic; et al. (IEEE Robotics Autom. Mag., 2019)

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

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

Learning to Teach in Cooperative Multiagent Reinforcement Learning. - Omidshafiei, Shayegan; Kim, Dong-Ki; Liu, Miao; Tesauro, Gerald; Riemer, Matthew; Amato, Christopher; Campbell, Murray; How, Jonathan P. (2019)

Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems. - Hoang, Trong Nghia; Hoang, Quang Minh; Low, Kian Hsiang; How, Jonathan P. (2019)

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

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

Robust Object-based SLAM for High-speed Autonomous Navigation. - Ok, Kyel; Liu, Katherine; Frey, Kristoffer M.; How, Jonathan P.; Roy, Nicholas (2019)

Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments. - Tordesillas, Jesus; Lopez, Brett Thomas; Carter, John; Ware, John; How, Jonathan P. (2019)

Efficient Constellation-Based Map-Merging for Semantic SLAM. - Frey, Kristoffer M.; Steiner, Ted J.; How, Jonathan P. (2019)

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

Safe Reinforcement Learning With Model Uncertainty Estimates. - Lütjens, Björn; Everett, Michael; How, Jonathan P. (2019)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties. - Quindlen, John F.; Topcu, Ufuk; Chowdhary, Girish; How, Jonathan P. (2018)

Active Sampling for Closed-Loop Statistical Verification of Uncertain Nonlinear Systems. - Quindlen, John F.; Topcu, Ufuk; Chowdhary, Girish; How, Jonathan P. (2018)

Crossmodal Attentive Skill Learner. - Omidshafiei, Shayegan; Kim, Dong-Ki; Pazis, Jason; How, Jonathan P. (2018)

Robust Powered Descent with Control Contraction Metrics. - Lopez, Brett Thomas; Slotine, Jean-Jacques E.; How, Jonathan P. (2018)

Reference Drag Update Scheme in Shuttle Entry Guidance Using Range Allocator for Tight Constraints. - Evans, Erin; Thrasher, Stephen; How, Jonathan P. (2018)

Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed Loop Closure Detection. - Giamou, Matthew; Khosoussi, Kasra; How, Jonathan P. (2018)

Robust Collision Avoidance via Sliding Control. - Lopez, Brett Thomas; Slotine, Jean-Jacques E.; How, Jonathan P. (2018)

Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems. - Hoang, Trong Nghia; Xiao, Yuchen; Sivakumar, Kavinayan; Amato, Christopher; How, Jonathan P. (2018)

Complexity Analysis and Efficient Measurement Selection Primitives for High-Rate Graph SLAM. - Frey, Kristoffer M.; Steiner, Ted J.; How, Jonathan P. (2018)

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

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

Search and Rescue Under the Forest Canopy Using Multiple UAS. - Tian, Yulun; Liu, Katherine; Ok, Kyel; Tran, Loc D.; Allen, Danette; Roy, Nicholas; How, Jonathan P. (2018)

Learning in the Curbside Coordinate Frame for a Transferable Pedestrian Trajectory Prediction Model. - Jaipuria, Nikita; Habibi, Golnaz; How, Jonathan P. (2018)

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

Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees. - Tian, Yulun; Khosoussi, Kasra; How, Jonathan P. (2018)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Quickest change detection approach to optimal control in Markov decision processes with model changes. - Banerjee, Taposh; Liu, Miao; How, Jonathan P. (2017)

Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures. - Straub, Julian; Campbell, Trevor; How, Jonathan P.; Fisher, John W., III (2017)

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

Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning. - Chen, Yu Fan; Liu, Miao; Everett, Michael; How, Jonathan P. (2017)

Scalable accelerated decentralized multi-robot policy search in continuous observation spaces. - Omidshafiei, Shayegan; Amato, Christopher; Liu, Miao; Everett, Michael; How, Jonathan P.; Vian, John (2017)

Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations. - Omidshafiei, Shayegan; Liu, Shih-Yuan; Everett, Michael; Lopez, Brett Thomas; Amato, Christopher; Liu, Miao; How, Jonathan P.; Vian, John (2017)

Predictive positioning and quality of service ridesharing for campus mobility on demand systems. - Miller, Justin; How, Jonathan P. (2017)

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

Aggressive 3-D collision avoidance for high-speed navigation. - Lopez, Brett Thomas; How, Jonathan P. (2017)

Socially aware motion planning with deep reinforcement learning. - Chen, Yu Fan; Everett, Michael; Liu, Miao; How, Jonathan P. (2017)

Aggressive collision avoidance with limited field-of-view sensing. - Lopez, Brett Thomas; How, Jonathan P. (2017)

Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions. - Liu, Miao; Sivakumar, Kavinayan; Omidshafiei, Shayegan; Amato, Christopher; How, Jonathan P. (2017)

Stable laser interest point selection for place recognition in a forest. - Giamou, Matthew; Babich, Yaroslav; Habibi, Golnaz; How, Jonathan P. (2017)

Demand estimation and chance-constrained fleet management for ride hailing. - Miller, Justin; How, Jonathan P. (2017)

Planning and Learning under Uncertainty: Theory and Practice. - How, Jonathan P. (2017)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments. - Liu, Miao; Amato, Christopher; Anesta, Emily P.; Griffith, John Daniel; How, Jonathan P. (2016)

Region-of-convergence estimation for learning-based adaptive controllers. - Quindlen, John F.; Topcu, Ufuk; Chowdhary, Girish; How, Jonathan P. (2016)

Adaptive mission planning for coupled human-robot teams. - Shannon, Christopher J.; Johnson, Luke B.; Jackson, Kimberly F.; How, Jonathan P. (2016)

Information-based Active SLAM via topological feature graphs. - Mu, Beipeng; Giamou, Matthew; Paull, Liam; Agha-mohammadi, Ali-akbar; Leonard, John J.; How, Jonathan P. (2016)

Duckietown: An Innovative Way to Teach Autonomy. - Tani, Jacopo; Paull, Liam; Zuber, Maria T.; Rus, Daniela; How, Jonathan P.; Leonard, John J.; Censi, Andrea (2016)

Case Studies in Data-Driven Verification of Dynamical Systems. - Kozarev, Alexandar; Quindlen, John F.; How, Jonathan P.; Topcu, Ufuk (2016)

Augmented dictionary learning for motion prediction. - Chen, Yu Fan; Liu, Miao; How, Jonathan P. (2016)

Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs. - Omidshafiei, Shayegan; Agha-mohammadi, Ali-akbar; Amato, Christopher; Liu, Shih-Yuan; How, Jonathan P.; Vian, John (2016)

Autonomous drifting using simulation-aided reinforcement learning. - Cutler, Mark; How, Jonathan P. (2016)

Motion planning with diffusion maps. - Chen, Yu Fan; Liu, Shih-Yuan; Liu, Miao; Miller, Justin; How, Jonathan P. (2016)

Dynamic arrival rate estimation for campus Mobility On Demand network graphs. - Miller, Justin; Hasfura, Andres; Liu, Shih-Yuan; How, Jonathan P. (2016)

SLAM with objects using a nonparametric pose graph. - Mu, Beipeng; Liu, Shih-Yuan; Paull, Liam; Leonard, John J.; How, Jonathan P. (2016)

Improving PAC Exploration Using the Median Of Means. - Pazis, Jason; Parr, Ronald; How, Jonathan P. (2016)

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

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

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

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

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

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

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

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

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

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

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

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

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

Probabilistic Planning for Decentralized Multi-Robot Systems. - Amato, Christopher; Konidaris, George Dimitri; Omidshafiei, Shayegan; Agha-mohammadi, Ali-akbar; How, Jonathan P.; Kaelbling, Leslie Pack (2015)

Hybrid model reference adaptive control for unmatched uncertainties. - Quindlen, John F.; Chowdhary, Girish; How, Jonathan P. (2015)

Bayesian nonparametric set construction for robust optimization. - Campbell, Trevor; How, Jonathan P. (2015)

Randomized Coordination Search for Scalable Multiagent Planning. - Ure, N. Kemal; How, Jonathan P.; Vian, John (2015)

Small-variance nonparametric clustering on the hypersphere. - Straub, Julian; Campbell, Trevor; How, Jonathan P.; Fisher, John W., III (2015)

Adaptive search for multi-class targets with heterogeneous importance. - Mu, Beipeng; Newstadt, Gregory E.; Wei, Dennis L.; Hero, Alfred O., III; How, Jonathan P. (2015)

Planning for decentralized control of multiple robots under uncertainty. - Amato, Christopher; Konidaris, George Dimitri; Cruz, Gabriel; Maynor, Christopher A.; How, Jonathan P.; Kaelbling, Leslie Pack (2015)

Efficient reinforcement learning for robots using informative simulated priors. - Cutler, Mark; How, Jonathan P. (2015)

Decoupled multiagent path planning via incremental sequential convex programming. - Chen, Yu Fan; Cutler, Mark; How, Jonathan P. (2015)

Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions. - Omidshafiei, Shayegan; Agha-mohammadi, Ali-akbar; Amato, Christopher; How, Jonathan P. (2015)

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

Robust incremental SLAM with consistency-checking. - Graham, Matthew C.; How, Jonathan P.; Gustafson, Donald E. (2015)

Online heterogeneous multiagent learning under limited communication with applications to forest fire management. - Ure, N. Kemal; Omidshafiei, Shayegan; Lopez, Brett Thomas; Agha-mohammadi, Ali-akbar; How, Jonathan P.; Vian, John (2015)

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

Policy Search for Multi-Robot Coordination under Uncertainty. - Amato, Christopher; Konidaris, George Dimitri; Anders, Ariel; Cruz, Gabriel; How, Jonathan P.; Kaelbling, Leslie Pack (2015)

Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation. - Mu, Beipeng; Agha-mohammadi, Ali-akbar; Paull, Liam; Graham, Matthew C.; How, Jonathan P.; Leonard, John J. (2015)

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

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

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

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

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

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

Experimental Validation of Bayesian Nonparametric Adaptive Control Using Gaussian Processes. - Grande, Robert C.; Chowdhary, Girish; How, Jonathan P. (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. - Ure, N. Kemal; Chowdhary, Girish; Chen, Yu Fan; How, Jonathan P.; Vian, John (J. Intell. Robotic Syst., 2014)

An optimizing sampling-based motion planner with guaranteed robustness to bounded uncertainty. - Luders, Brandon D.; How, Jonathan P. (2014)

Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management. - Chen, Yu Fan; Ure, N. Kemal; Chowdhary, Girish; How, Jonathan P.; Vian, John (2014)

Convergence analysis of the Hybrid Information and Plan Consensus Algorithm. - Johnson, Luke B.; Choi, Han-Lim; How, Jonathan P. (2014)

Potential Game-Theoretic Analysis of a Market-Based Decentralized Task Allocation Algorithm. - Choi, Han-Lim; Kim, Keum-Seong; Johnson, Luke B.; How, Jonathan P. (2014)

The Hybrid Information and Plan Consensus Algorithm with Imperfect Situational Awareness. - Johnson, Luke B.; Choi, Han-Lim; How, Jonathan P. (2014)

Sample Efficient Reinforcement Learning with Gaussian Processes. - Grande, Robert C.; Walsh, Thomas J.; How, Jonathan P. (2014)

Human aware UAS path planning in urban environments using nonstationary MDPs. - Allamaraju, Rakshit; Kingravi, Hassan A.; Axelrod, Allan; Chowdhary, Girish; Grande, Robert C.; How, Jonathan P.; Crick, Christopher; Sheng, Weihua (2014)

Reinforcement learning with multi-fidelity simulators. - Cutler, Mark; Walsh, Thomas J.; How, Jonathan P. (2014)

Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models. - Wei, Hongchuan; Lu, Wenjie; Zhu, Pingping; Ferrari, Silvia; Klein, Robert H.; Omidshafiei, Shayegan; How, Jonathan P. (2014)

Health aware stochastic planning for persistent package delivery missions using quadrotors. - Agha-mohammadi, Ali-akbar; Ure, N. Kemal; How, Jonathan P.; Vian, John (2014)

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

Quantifying Nonlocal Informativeness in High-Dimensional, Loopy Gaussian Graphical Models. - Levine, Daniel S.; How, Jonathan P. (2014)

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

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

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

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

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

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

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

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

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

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

Multiagent allocation of Markov decision process tasks. - Campbell, Trevor; Johnson, Luke B.; How, Jonathan P. (2013)

Bayesian nonparametric adaptive control of time-varying systems using Gaussian processes. - Chowdhary, Girish; Kingravi, Hassan A.; How, Jonathan P.; Vela, Patricio A. (2013)

Risk allocation strategies for distributed chance-constrained task allocation. - Ponda, Sameera S.; Johnson, Luke B.; How, Jonathan P. (2013)

Efficient distributed sensing using adaptive censoring based inference. - Mu, Beipeng; Chowdhary, Girish; How, Jonathan P. (2013)

Nonparametric adaptive control using Gaussian Processes with online hyperparameter estimation. - Grande, Robert C.; Chowdhary, Girish; How, Jonathan P. (2013)

A concurrent learning adaptive-optimal control architecture for nonlinear systems. - Chowdhary, Girish; Mühlegg, Maximilian; How, Jonathan P.; Holzapfel, Florian (2013)

A Bayesian nonparametric approach to adaptive control using Gaussian Processes. - Chowdhary, Girish; Kingravi, Hassan A.; How, Jonathan P.; Vela, Patricio A. (2013)

Health Aware Planning under uncertainty for UAV missions with heterogeneous teams. - Ure, N. Kemal; Chowdhary, Girish; How, Jonathan P.; Vavrina, Matthew A.; Vian, John (2013)

Scalable reward learning from demonstration. - Michini, Bernard; Cutler, Mark; How, Jonathan P. (2013)

Reinforcement learning with misspecified model classes. - Joseph, Joshua Mason; Geramifard, Alborz; Roberts, John W.; How, Jonathan P.; Roy, Nicholas (2013)

Rapid transfer of controllers between UAVs using learning-based adaptive control. - Chowdhary, Girish; Wu, Tongbin; Cutler, Mark; How, Jonathan P. (2013)

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

Sensor Selection in High-Dimensional Gaussian Trees with Nuisances. - Levine, Daniel S.; How, Jonathan P. (2013)

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

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

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

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

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

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

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

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

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

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

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

Model estimation within planning and learning. - Geramifard, Alborz; Redding, Joshua D.; Joseph, Joshua Mason; Roy, Nicholas; How, Jonathan P. (2012)

Distributed chance-constrained task allocation for autonomous multi-agent teams. - Ponda, Sameera S.; Johnson, Luke B.; How, Jonathan P. (2012)

Scalable, MDP-based planning for multiple, cooperating agents. - Redding, Joshua D.; Ure, N. Kemal; How, Jonathan P.; Vavrina, Matthew A.; Vian, John (2012)

Allowing non-submodular score functions in distributed task allocation. - Johnson, Luke B.; Choi, Han-Lim; Ponda, Sameera S.; How, Jonathan P. (2012)

Multi-UAV network control through dynamic task allocation: Ensuring data-rate and bit-error-rate support. - Kopeikin, Andrew N.; Ponda, Sameera S.; Johnson, Luke B.; How, Jonathan P. (2012)

Improving the efficiency of Bayesian inverse reinforcement learning. - Michini, Bernard; How, Jonathan P. (2012)

Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery. - Ure, N. Kemal; Geramifard, Alborz; Chowdhary, Girish; How, Jonathan P. (2012)

Bayesian Nonparametric Inverse Reinforcement Learning. - Michini, Bernard; How, Jonathan P. (2012)

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

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

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

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

Decentralized task allocation with coupled constraints in complex missions. - Whitten, Andrew K.; Choi, Han-Lim; Johnson, Luke B.; How, Jonathan P. (2011)

Proactive planning for persistent missions using composite model-reference adaptive control and approximate dynamic programming. - Redding, Joshua D.; Dydek, Zac; How, Jonathan P.; Vavrina, Matthew A.; Vian, John (2011)

UAV cooperative control with stochastic risk models. - Geramifard, Alborz; Redding, Joshua D.; Roy, Nicholas; How, Jonathan P. (2011)

Region of attraction comparison for gradient projection anti-windup compensated systems. - Teo, Justin; How, Jonathan P. (2011)

Real-time dynamic planning to maintain network connectivity in a team of unmanned air vehicles. - Kopeikin, Andrew N.; Ponda, Sameera S.; Johnson, Luke B.; Toupet, Olivier; How, Jonathan P. (2011)

Online Discovery of Feature Dependencies. - Geramifard, Alborz; Doshi, Finale; Redding, Josh; Roy, Nicholas; How, Jonathan P. (2011)

A decentralized approach to multi-agent planning in the presence of constraints and uncertainty. - Undurti, Aditya; How, Jonathan P. (2011)

Design and flight testing of an autonomous variable-pitch quadrotor. - Michini, Buddy; Redding, Josh; Ure, N. Kemal; Cutler, Mark; How, Jonathan P. (2011)

Decentralized path planning for multi-agent teams in complex environments using rapidly-exploring random trees. - Desaraju, Vishnu; How, Jonathan P. (2011)

Behavior classification algorithms at intersections and validation using naturalistic data. - Aoude, Georges; Desaraju, Vishnu; Stephens, Lauren H.; How, Jonathan P. (2011)

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

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

Actor-Critic Policy Learning in Cooperative Planning. - Redding, Josh; Geramifard, Alborz; How, Jonathan P. (2010)

An intelligent Cooperative Control Architecture. - Redding, Joshua D.; Geramifard, Alborz; Undurti, Aditya; Choi, Han-Lim; How, Jonathan P. (2010)

Agent capability in persistent mission planning using approximate dynamic programming. - Bethke, Brett; Redding, Joshua D.; How, Jonathan P.; Vavrina, Matthew A.; Vian, John (2010)

Stability analysis for class of switched nonlinear systems. - Shaker, Hamid Reza; How, Jonathan P. (2010)

Decentralized task allocation for heterogeneous teams with cooperation constraints. - Choi, Han-Lim; Whitten, Andrew K.; How, Jonathan P. (2010)

A hyperparameter-based approach for consensus under uncertainties. - Fraser, Cameron S. R.; Bertuccelli, Luca F.; Choi, Han-Lim; How, Jonathan P. (2010)

Decentralized planning for complex missions with dynamic communication constraints. - Ponda, Sameera S.; Redding, Josh; Choi, Han-Lim; How, Jonathan P.; Vavrina, Matthew A.; Vian, John (2010)

Approximate dynamic programming using model-free Bellman Residual Elimination. - Bethke, Brett; How, Jonathan P. (2010)

Bounds on tracking error using closed-loop rapidly-exploring random trees. - Luders, Brandon D.; Karaman, Sertac; Frazzoli, Emilio; How, Jonathan P. (2010)

Analysis of gradient projection anti-windup scheme. - Teo, Justin; How, Jonathan P. (2010)

Geometric properties of gradient projection anti-windup compensated systems. - Teo, Justin; How, Jonathan P. (2010)

Analysis of mutual information for informative forecasting using mobile sensors. - Choi, Han-Lim; How, Jonathan P. (2010)

A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments. - Teller, Seth J.; Walter, Matthew R.; Antone, Matthew E.; Correa, Andrew; Davis, Randall; Fletcher, Luke; Frazzoli, Emilio; Glass, Jim; How, Jonathan P.; Huang, Albert S.; Jeon, Jeong hwan; Karaman, Sertac; et al. (2010)

An online algorithm for constrained POMDPs. - Undurti, Aditya; How, Jonathan P. (2010)

Threat-aware path planning in uncertain urban environments. - Aoude, Georges; Luders, Brandon; Levine, Daniel S.; How, Jonathan P. (2010)

Threat assessment design for driver assistance system at intersections. - Aoude, Georges; Luders, Brandon D.; Lee, Kenneth K. H.; Levine, Daniel S.; How, Jonathan P. (2010)

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

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

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

Approximate dynamic programming using Bellman residual elimination and Gaussian process regression. - Bethke, Brett; How, Jonathan P. (2009)

Robust adaptive Markov Decision Processes in multi-vehicle applications. - Bertuccelli, Luca F.; Bethke, Brett; How, Jonathan P. (2009)

On Approximate Dynamic Inversion and Proportional-Integral control. - Teo, Justin; How, Jonathan P.; Lavretsky, Eugene (2009)

On the roles of smoothing in planning of informative paths. - Choi, Han-Lim; How, Jonathan P. (2009)

Anti-windup compensation for nonlinear systems via gradient projection: Application to adaptive control. - Teo, Justin; How, Jonathan P. (2009)

A Perception-Driven Autonomous Urban Vehicle. - Leonard, John J.; How, Jonathan P.; Teller, Seth J.; Berger, Mitch; Campbell, Stefan; Fiore, Gaston A.; Fletcher, Luke; Frazzoli, Emilio; Huang, Albert S.; Karaman, Sertac; Koch, Olivier; Kuwata, Yoshiaki; et al. (2009)

The MIT - Cornell Collision and Why It Happened. - Fletcher, Luke; Teller, Seth J.; Olson, Edwin; Moore, David; Kuwata, Yoshiaki; How, Jonathan P.; Leonard, John J.; Miller, Isaac; Campbell, Mark E.; Huttenlocher, Dan; Nathan, Aaron; Kline, Frank-Robert (2009)

Vision-based guidance and control of a hovering vehicle in unknown, GPS-denied environments. - Ahrens, Spencer; Levine, Daniel S.; Andrews, Gregory; How, Jonathan P. (2009)

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

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

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

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

An outer-approximation algorithm for generalized maximum entropy sampling. - Choi, Han-Lim; How, Jonathan P.; Barton, Paul I. (2008)

Optimization of mobile backbone networks: Improved algorithms and approximation. - Craparo, Emily M.; How, Jonathan P.; Modiano, Eytan H. (2008)

Group health management of UAV teams with applications to persistent surveillance. - Bethke, Brett; How, Jonathan P.; Vian, John (2008)

Robust Markov Decision Processes using Sigma Point sampling. - Bertuccelli, Luca F.; How, Jonathan P. (2008)

Estimation of non-stationary Markov Chain transition models. - Bertuccelli, Luca F.; How, Jonathan P. (2008)

Simultaneous placement and assignment for exploration in mobile backbone networks. - Craparo, Emily M.; How, Jonathan P.; Modiano, Eytan H. (2008)

Continuous motion planning for information forecast. - Choi, Han-Lim; How, Jonathan P. (2008)

Equivalence between Approximate Dynamic Inversion and Proportional-Integral control. - Teo, Justin; How, Jonathan P. (2008)

Approximate dynamic programming using support vector regression. - Bethke, Brett; How, Jonathan P.; Ozdaglar, Asuman E. (2008)

Autonomous aircraft flight control for constrained environments. - How, Jonathan P.; McGrew, James S.; Frank, Adrian A.; Hines, George H. (2008)

Motion planning for urban driving using RRT. - Kuwata, Yoshiaki; Fiore, Gaston A.; Teo, Justin; Frazzoli, Emilio; How, Jonathan P. (2008)

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

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

Robust Cooperative Decentralized Trajectory Optimization using Receding Horizon MILP. - Kuwata, Yoshiaki; How, Jonathan P. (2007)

Ensemble-Based Adaptive Targeting of Mobile Sensor Networks. - Choi, Han-Lim; How, Jonathan P.; Hansen, James A. (2007)

Robust Receding Horizon Control using Generalized Constraint Tightening. - Kuwata, Yoshiaki; Richards, Arthur; How, Jonathan P. (2007)

Three-Dimensional Flight Experiments Using On-Line Mixed-Integer Linear Programming Trajectory Optimization. - Culligan, Kieran; Valenti, Mario J.; Kuwata, Yoshiaki; How, Jonathan P. (2007)

Embedding Health Management into Mission Tasking for UAV Teams. - Valenti, Mario J.; Bethke, Brett; How, Jonathan P.; Farias, Daniela Pucci de; Vian, John (2007)

Adaptive Observation Strategies for Forecast Error Minimization. - Roy, Nicholas; Choi, Han-Lim; Gombos, Daniel; Hansen, James A.; How, Jonathan P.; Park, Sooho (2007)

The MIT Indoor Multi-Vehicle Flight Testbed. - Valenti, Mario J.; Bethke, Brett; Dale, Daniel; Frank, Adrian A.; McGrew, James S.; Ahrens, Spencer; How, Jonathan P.; Vian, John (2007)

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

An unbiased Kalman consensus algorithm. - Alighanbari, Mehdi; How, Jonathan P. (2006)

Search for dynamic targets with uncertain probability maps. - Bertuccelli, Luca F.; How, Jonathan P. (2006)

Decentralized inventory control for large-scale supply chains. - Inalhan, Gökhan; How, Jonathan P. (2006)

Decentralized robust receding horizon control for multi-vehicle guidance. - Kuwata, Yoshiaki; Richards, Arthur; Schouwenaars, Tom; How, Jonathan P. (2006)

Robust stable model predictive control with constraint tightening. - Richards, Arthur; How, Jonathan P. (2006)

Multi-vehicle path planning for non-line of sight communication. - Schouwenaars, Tom; Feron, Eric; How, Jonathan P. (2006)

A Robust Approach to the UAV Task Assignment Problem. - Alighanbari, Mehdi; Bertuccelli, Luca F.; How, Jonathan P. (2006)

UAV Search for Dynamic Targets with Uncertain Motion Models. - Bertuccelli, Luca F.; How, Jonathan P. (2006)

Decentralized Cooperative Trajectory Optimization for UAVs with Coupling Constraints. - Kuwata, Yoshiaki; How, Jonathan P. (2006)

Formation flying control for the MMS mission using GVE-based MPC. - Breger, Louis; How, Jonathan P. (2005)

Robust model predictive control with imperfect information. - Richards, Arthur; How, Jonathan P. (2005)

Trajectory optimization for satellite reconfiguration maneuvers with position and attitude constraints. - Garcia, Ian; How, Jonathan P. (2005)

Model predictive control of spacecraft formations with sensing noise. - Breger, Louis; How, Jonathan P.; Richards, Arthur (2005)

Mixed-integer programming for control. - Richards, Arthur; How, Jonathan P. (2005)

Receding horizon implementation of MILP for vehicle guidance. - Kuwata, Yoshiaki; How, Jonathan P. (2005)

Cooperative task assignment of unmanned aerial vehicles in adversarial environments. - Alighanbari, Mehdi; How, Jonathan P. (2005)

Decentralized Task Assignment for Unmanned Aerial Vehicles. - Alighanbari, Mehdi; How, Jonathan P. (2005)

Robust UAV Search for Environments with Imprecise Probability Maps. - Bertuccelli, Luca F.; How, Jonathan P. (2005)

Improving the Efficiency of Rapidly-exploring Random Trees Using a Potential Function Planner. - Garcia, Ian; How, Jonathan P. (2005)

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

Stable trajectory design for highly constrained environments using receding horizon control. - Kuwata, Yoshiaki; How, Jonathan P. (2004)

A decentralized algorithm for robust constrained model predictive control. - Richards, Arthur; How, Jonathan P. (2004)

Coordination and control experiments on a multi-vehicle testbed. - King, Ellis; Kuwata, Yoshiaki; Alighanbari, Mehdi; Bertuccelli, Luca F.; How, Jonathan P. (2004)

Receding horizon path planning with implicit safety guarantees. - Schouwenaars, Tom; How, Jonathan P.; Feron, Eric (2004)

Robust planning for coupled cooperative UAV missions. - Bertuccelli, Luca F.; Alighanbari, Mehdi; How, Jonathan P. (2004)

Decentralized model predictive control of cooperating UAVs. - Richards, Arthur; How, Jonathan P. (2004)

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

Distributed coordination and control of formation flying spacecraft. - Tillerson, Michael; Breger, Louis; How, Jonathan P. (2003)

Robust motion planning using a maneuver automation with built-in uncertainties. - Schouwenaars, Tom; Mettler, Bernard; Feron, Eric; How, Jonathan P. (2003)

Model predictive control of vehicle maneuvers with guaranteed completion time and robust feasibility. - Richards, Arthur; How, Jonathan P. (2003)

Coordination and control of multiple UAVs with timing constraints and loitering. - Alighanbari, Mehdi; Kuwata, Yoshiaki; How, Jonathan P. (2003)

Synthesis of piecewise-affine controllers for stabilization of nonlinear systems. - Rodrigues, Luis; How, Jonathan P. (2003)

Aircraft trajectory planning with collision avoidance using mixed integer linear programming. - Richards, Arthur; How, Jonathan P. (2002)

Advanced guidance algorithms for spacecraft formation-keeping. - Tillerson, Michael; How, Jonathan P. (2002)

Receding horizon control of autonomous aerial vehicles. - Bellingham, John S.; Richards, Arthur; How, Jonathan P. (2002)

Cooperative path planning for multiple UAVs in dynamic and uncertain environments. - Bellingham, John S.; Tillerson, Michael; Alighanbari, Mehdi; How, Jonathan P. (2002)

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

Model free subspace based H∞ control. - Woodley, Bruce R.; How, Jonathan P.; Kosut, Robert L. (2001)

Automated control design for a piecewise-affine approximation of a class of nonlinear systems. - Rodrigues, Luis; How, Jonathan P. (2001)

Analysis of the impact of sensor noise on formation flying control. - How, Jonathan P.; Tillerson, Michael (2001)

Observer-based control of piecewise-affine systems. - Rodrigues, Luis; How, Jonathan P. (2001)

Mixed integer programming for multi-vehicle path planning. - Schouwenaars, Tom; Moor, Bart De; Feron, Eric; How, Jonathan P. (2001)

Output feedback controller synthesis for piecewise-affine systems with multiple equilibria. - Rodrigues, Luis; Hassibi, Arash; How, Jonathan P. (2000)

Control with random communication delays via a discrete-time jump system approach. - Xiao, Lin; Hassibi, Arash; How, Jonathan P. (2000)

Estimation-based multi-channel adaptive algorithm for filtered-LMS problems. - Sayyarrodsari, Bijan; How, Jonathan P.; Hassibi, Babak; Carrier, Alain (2000)

An Indoor Absolute Positioning System with No Line of Sight Restrictions and Building-Wide Coverage. - Prigge, Eric; How, Jonathan P. (2000)

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

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

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

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