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ORCID18th Robotics: Science and Systems 2022: New York City, NY, USA
- Kris Hauser, Dylan A. Shell, Shoudong Huang:
Robotics: Science and Systems XVIII, New York City, NY, USA, June 27 - July 1, 2022. 2022, ISBN 978-0-9923747-8-5 - Bokui Shen, Zhenyu Jiang, Christopher B. Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu:
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. - Fang Bai, Adrien Bartoli:
KernelGPA: A Deformable SLAM Back-end. - Liang Zhao, Yingyu Wang
, Shoudong Huang:
Occupancy-SLAM: Simultaneously Optimizing Robot Poses and Continuous Occupancy Map. - Graeme Best, Rohit Garg, John Keller, Geoffrey A. Hollinger, Sebastian A. Scherer:
Resilient Multi-Sensor Exploration of Multifarious Environments with a Team of Aerial Robots. - Kaicheng Zhang, Ziyang Hong, Shida Xu, Sen Wang:
CURL: Continuous, Ultra-compact Representation for LiDAR. - Peer Neubert, Stefan Schubert:
SEER: Unsupervised and sample-efficient environment specialization of image descriptors. - Haojie Huang, Dian Wang, Robin Walters, Robert Platt:
Equivariant Transporter Network. - Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu:
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. - Maximilian Du, Olivia Y. Lee, Suraj Nair, Chelsea Finn:
Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning. - Jyothish Pari, Nur Muhammad (Mahi) Shafiullah, Sridhar Pandian Arunachalam, Lerrel Pinto:
The Surprising Effectiveness of Representation Learning for Visual Imitation. - Zixuan Huang, Xingyu Lin, David Held:
Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation. - Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotný, Michael Zollhöfer, Mustafa Mukadam:
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception. - Jingxing Qian, Veronica Chatrath, Jun Yang, James Servos, Angela P. Schoellig, Steven L. Waslander:
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes. - Lillian Clark, Jeffrey A. Edlund, Marc Sanchez Net, Tiago Stegun Vaquero, Ali-akbar Agha-mohammadi:
PropEM-L: Radio Propagation Environment Modeling and Learning for Communication-Aware Multi-Robot Exploration. - Bruno Hexsel, Heethesh Vhavle, Yi Chen:
DICP: Doppler Iterative Closest Point Algorithm. - Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song:
Iterative Residual Policy for Goal-Conditioned Dynamic Manipulation of Deformable Objects. - Zhenjia Xu, Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song:
DextAIRity: Deformable Manipulation Can be a Breeze. - Ben Eisner, Harry Zhang, David Held:
FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects. - Dhruv Shah, Sergey Levine:
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints. - Kaiqi Chen, Jeffrey Fong, Harold Soh:
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication. - Sunwoo Kim, Maks Sorokin, Jehee Lee, Sehoon Ha:
Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning. - Gabriel B. Margolis, Ge Yang, Kartik Paigwar, Tao Chen, Pulkit Agrawal:
Rapid Locomotion via Reinforcement Learning. - Aravind Sivakumar, Kenneth Shaw, Deepak Pathak:
Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on YouTube. - Michael Fulton, Muntaqim Mehtaz, Junaed Sattar, Owen Queeglay:
Underwater Robot-To-Human Communication Via Motion: Implementation and Full-Loop Human Interface Evaluation. - Reuben M. Aronson, Henny Admoni:
Gaze Complements Control Input for Goal Prediction During Assisted Teleoperation. - Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Human-to-Robot Imitation in the Wild. - Thomas Power, Dmitry Berenson:
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection. - Nakul Gopalan, Nina Moorman, Manisha Natarajan, Matthew C. Gombolay:
Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions. - Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach:
A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles. - Edward Bray, Roderich Gross:
Distributed Optimisation and Deconstruction of Bridges by Self-Assembling Robots. - Peter Mitrano, Dmitry Berenson:
Data Augmentation for Manipulation. - Xinzhu Liu, Xinghang Li, Di Guo, Sinan Tan, Huaping Liu, Fuchun Sun:
Embodied Multi-Agent Task Planning from Ambiguous Instruction. - Zhongyu Li, Jun Zeng, Akshay Thirugnanam, Koushil Sreenath:
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models. - Vainavi Viswanath, Kaushik Shivakumar, Justin Kerr, Brijen Thananjeyan, Ellen R. Novoseller, Jeffrey Ichnowski, Alejandro Escontrela, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Autonomously Untangling Long Cables. - Yashraj S. Narang, Kier Storey, Iretiayo Akinola, Miles Macklin, Philipp Reist, Lukasz Wawrzyniak, Yunrong Guo, Ádám Moravánszky, Gavriel State, Michelle Lu, Ankur Handa, Dieter Fox:
Factory: Fast Contact for Robotic Assembly. - Anirudha Majumdar, Vincent Pacelli:
Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning. - Charles Dawson, Chuchu Fan:
Certifiable Robot Design Optimization using Differentiable Programming. - Siro Moreno-Martín, Lluís Ros, Enric Celaya:
Collocation Methods for Second Order Systems. - Louis Montaut, Quentin Le Lidec, Vladimír Petrík, Josef Sivic, Justin Carpentier:
Collision Detection Accelerated: An Optimization Perspective. - Antoine Bambade, Sarah El Kazdadi, Adrien B. Taylor, Justin Carpentier:
PROX-QP: Yet another Quadratic Programming Solver for Robotics and beyond. - Hayk Martiros, Aaron Miller, Nathan Bucki, Bradley Solliday, Ryan Kennedy, Jack Zhu, Tung Dang, Dominic Pattison, Harrison Zheng, Teo Tomic, Peter Henry, Gareth Cross, Josiah VanderMey, Alvin Sun, Samuel Wang, Kristen Holtz:
SymForce: Symbolic Computation and Code Generation for Robotics. - Alec Farid, David Snyder, Allen Z. Ren, Anirudha Majumdar:
Failure Prediction with Statistical Guarantees for Vision-Based Robot Control. - Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Proxima: An Approach for Time or Accuracy Budgeted Collision Proximity Queries. - Bowen Wen, Wenzhao Lian, Kostas E. Bekris, Stefan Schaal:
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration. - Gianluca Monaci, Michel Aractingi, Tomi Silander:
DiPCAN: Distilling Privileged Information for Crowd-Aware Navigation. - Alex Oshin, Matthew D. Houghton, Michael J. Acheson, Irene M. Gregory, Evangelos A. Theodorou:
Parameterized Differential Dynamic Programming. - Weizhe Chen, Roni Khardon, Lantao Liu:
AK: Attentive Kernel for Information Gathering. - Md Jahidul Islam, Ruobing Wang, Junaed Sattar:
SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robot. - Tianrui Guan, Zhenpeng He, Ruitao Song, Dinesh Manocha, Liangjun Zhang:
TNS: Terrain Traversability Mapping and Navigation System for Autonomous Excavators. - Nathan Hughes, Yun Chang, Luca Carlone:
Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization. - Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine:
Learning Mixed Strategies in Trajectory Games. - Zhongqiang Ren, Akshaya Kesarimangalam Srinivasan, Howard Coffin, Ian Abraham, Howie Choset:
A Local Optimization Framework for Multi-Objective Ergodic Search. - Matthew Cavorsi, Beatrice Capelli, Lorenzo Sabattini, Stephanie Gil:
Multi-Robot Adversarial Resilience using Control Barrier Functions. - Andre Rochow, Max Schwarz, Michael Weinmann, Sven Behnke:
FaDIV-Syn: Fast Depth-Independent View Synthesis using Soft Masks and Implicit Blending. - Marcus A. Pereira, Augustinos D. Saravanos, Oswin So, Evangelos A. Theodorou:
Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM. - Zheng Chen, Durgakant Pushp, Lantao Liu:
CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation. - Teng Guo, Jingjin Yu:
Sub-1.5 Time-Optimal Multi-Robot Path Planning on Grids in Polynomial Time. - Zhongqiang Ren, Sivakumar Rathinam, Howie Choset:
Conflict-Based Steiner Search for Multi-Agent Combinatorial Path Finding. - Tianchen Ji, Roy Dong, Katherine Driggs Campbell:
Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance. - Gilhyun Ryou, Ezra Tal, Sertac Karaman:
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization. - Siyuan Xu, Minghui Zhu:
Meta Value Learning for Fast Policy-Centric Optimal Motion Planning. - Charles B. Schaff, Audrey Sedal, Matthew R. Walter:
Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer. - Frederik Ebert, Yanlai Yang, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis, Kostas Daniilidis, Chelsea Finn, Sergey Levine:
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets. - Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie:
Invariance Through Latent Alignment. - Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox:
Correcting Robot Plans with Natural Language Feedback. - Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann:
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control. - Tara Boroushaki, Laura Dodds, Nazish Naeem, Fadel Adib:
FuseBot: RF-Visual Mechanical Search. - Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay:
Learning Interpretable, High-Performing Policies for Autonomous Driving. - Yunho Kim, Chanyoung Kim, Jemin Hwangbo:
Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation. - Willow Mandil, Kiyanoush Nazari, Amir Ghalamzan E:
Action Conditioned Tactile Prediction: case study on slip prediction. - Xupeng Zhu, Dian Wang, Ondrej Biza, Guanang Su, Robin Walters, Robert Platt:
Sample Efficient Grasp Learning Using Equivariant Models. - Hung-Jui Huang, Xiaofeng Guo, Wenzhen Yuan:
Understanding Dynamic Tactile Sensing for Liquid Property Estimation. - Christian Lanegger, Marco Ruggia, Marco Tognon, Lionel Ott, Roland Siegwart:
Aerial Layouting: Design and Control of a Compliant and Actuated End-Effector for Precise In-flight Marking on Ceilings. - Griffin F. Tabor, Lan N. Pham, Jake J. Abbott, Tucker Hermans:
Adaptive Manipulation of Conductive, Nonmagnetic Objects via a Continuous Model of Magnetically Induced Force and Torque.
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