- Nikolaos Gkanatsios, Ayush Jain, Zhou Xian, Yunchu Zhang, Christopher G. Atkeson, Katerina Fragkiadaki:
Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement. Robotics: Science and Systems 2023 - Daniel Fernandes Gomes, Shan Luo, Paolo Paoletti:
Beyond Flat GelSight Sensors: Simulation of Optical Tactile Sensors of Complex Morphologies for Sim2Real Learning. Robotics: Science and Systems 2023 - Simon Guist, Jan Schneider, Vincent Berenz, Alexander Dittrich, Bernhard Schölkopf, Dieter Büchler:
Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning. Robotics: Science and Systems 2023 - Ke Guo, Wei Jing, Junbo Chen, Jia Pan:
CCIL: Context-conditioned imitation learning for urban driving. Robotics: Science and Systems 2023 - Yaohui Guo, X. Jessie Yang, Cong Shi:
Enabling Team of Teams: A Trust Inference and Propagation (TIP) Model in Multi-Human Multi-Robot Teams. Robotics: Science and Systems 2023 - Siddhant Haldar, Jyothish Pari, Anant Rai, Lerrel Pinto:
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations. Robotics: Science and Systems 2023 - Yuhang He, Irving Fang, Yiming Li, Rushi Bhavesh Shah, Chen Feng:
Metric-Free Exploration for Topological Mapping by Task and Motion Imitation in Feature Space. Robotics: Science and Systems 2023 - Minho Heo, Youngwoon Lee, Doohyun Lee, Joseph J. Lim:
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation. Robotics: Science and Systems 2023 - Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David J. Rendleman, Sean Kirmani, Jeffrey Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine:
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. Robotics: Science and Systems 2023 - Hann Woei Ho, Ye Zhou:
Incremental Nonlinear Dynamic Inversion based Optical Flow Control for Flying Robots: An Efficient Data-driven Approach. Robotics: Science and Systems 2023 - Jiaheng Hu, Peter Stone, Roberto Martín-Martín:
Causal Policy Gradient for Whole-Body Mobile Manipulation. Robotics: Science and Systems 2023 - Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Ganesh Iyer, Soroush Saryazdi, Tao Chen, Alaa Maalouf, Shuang Li, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba:
ConceptFusion: Open-set multimodal 3D mapping. Robotics: Science and Systems 2023 - Siddharth Karamcheti, Suraj Nair, Annie S. Chen, Thomas Kollar, Chelsea Finn, Dorsa Sadigh, Percy Liang:
Language-Driven Representation Learning for Robotics. Robotics: Science and Systems 2023 - Linh Kästner, Reyk Carstens, Lena Nahrwold, Christopher Liebig, Volodymyr Shcherbyna, Subhin Lee, Jens Lambrecht:
Demonstrating Arena-Web: A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches. Robotics: Science and Systems 2023 - Justin Kerr, Huang Huang, Albert Wilcox, Ryan Hoque, Jeffrey Ichnowski, Roberto Calandra, Ken Goldberg:
Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features. Robotics: Science and Systems 2023 - Gagan Khandate, Siqi Shang, Eric T. Chang, Tristan Luca Saidi, Johnson Adams, Matei T. Ciocarlie:
Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulation. Robotics: Science and Systems 2023 - Ilya Kostrikov, Laura M. Smith, Sergey Levine:
Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. Robotics: Science and Systems 2023 - Aviral Kumar, Anikait Singh, Frederik D. Ebert, Mitsuhiko Nakamoto, Yanlai Yang, Chelsea Finn, Sergey Levine:
Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials. Robotics: Science and Systems 2023 - Dongjun Lee, Jeongmin Lee, Minji Lee:
Uncertain Pose Estimation during Contact Tasks using Differentiable Contact Features. Robotics: Science and Systems 2023 - Shuai Li, Azarakhsh Keipour, Kevin G. Jamieson, Nicolas Hudson, Charles Swan, Kostas E. Bekris:
Demonstrating Large-Scale Package Manipulation via Learned Metrics of Pick Success. Robotics: Science and Systems 2023 - Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath:
Robust and Versatile Bipedal Jumping Control through Reinforcement Learning. Robotics: Science and Systems 2023 - Hyungtae Lim, Lucas Nunes, Benedikt Mersch, Xieyuanli Chen, Jens Behley, Hyun Myung, Cyrill Stachniss:
ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes. Robotics: Science and Systems 2023 - Weiyu Liu, Yilun Du, Tucker Hermans, Sonia Chernova, Chris Paxton:
StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects. Robotics: Science and Systems 2023 - Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu:
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment. Robotics: Science and Systems 2023 - Yangxiao Lu, Ninad A. Khargonkar, Zesheng Xu, Charles Averill, Kamalesh Palanisamy, Kaiyu Hang, Yunhui Guo, Nicholas Ruozzi, Yu Xiang:
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction. Robotics: Science and Systems 2023 - Matthew B. Luebbers, Aaquib Tabrez, Kyler Ruvane, Bradley Hayes:
Autonomous Justification for Enabling Explainable Decision Support in Human-Robot Teaming. Robotics: Science and Systems 2023 - Jun Lv, Yunhai Feng, Cheng Zhang, Shuang Zhao, Lin Shao, Cewu Lu:
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering. Robotics: Science and Systems 2023 - Satyanarayana Gupta Manyam, Abhishek Nayak, Sivakumar Rathinam:
G*: A New Approach to Bounding Curvature Constrained Shortest Paths through Dubins Gates. Robotics: Science and Systems 2023 - Russell Mendonca, Shikhar Bahl, Deepak Pathak:
Structured World Models from Human Videos. Robotics: Science and Systems 2023 - Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, Amirreza Shaban:
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. Robotics: Science and Systems 2023