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6th CoRL 2022: Auckland, New Zealand
- Karen Liu, Dana Kulic, Jeffrey Ichnowski:
Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand. Proceedings of Machine Learning Research 205, PMLR 2023 - Haoyu Xiong, Haoyuan Fu, Jieyi Zhang, Chen Bao, Qiang Zhang, Yongxi Huang, Wenqiang Xu, Animesh Garg, Cewu Lu:
RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments. 1-10 - Kun Huang, Edward S. Hu, Dinesh Jayaraman:
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning. 11-21 - Gabriel B. Margolis, Pulkit Agrawal:
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior. 22-31 - Siddhant Haldar, Vaibhav Mathur, Denis Yarats, Lerrel Pinto:
Watch and Match: Supercharging Imitation with Regularized Optimal Transport. 32-43 - Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine:
Offline Reinforcement Learning for Visual Navigation. 44-54 - Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang:
Graph Inverse Reinforcement Learning from Diverse Videos. 55-66 - Joe Watson, Jan Peters:
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes. 67-79 - Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei:
BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation. 80-93 - Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah:
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations. 94-105 - Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine:
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks. 106-117 - Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison:
Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter. 118-127 - Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone:
Robust Trajectory Prediction against Adversarial Attacks. 128-137 - Zipeng Fu, Xuxin Cheng, Deepak Pathak:
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion. 138-149 - Wenxuan Zhou, David Held:
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity. 150-160 - Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer:
PRISM: Probabilistic Real-Time Inference in Spatial World Models. 161-174 - Pierre-Louis Guhur, Shizhe Chen, Ricardo Garcia, Makarand Tapaswi, Ivan Laptev, Cordelia Schmid:
Instruction-driven history-aware policies for robotic manipulations. 175-187 - Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson:
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. 188-198 - Mohamad Hosein Danesh, Panpan Cai, David Hsu:
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. 199-211 - Saminda Wishwajith Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Marcin Choromanski, Pannag R. Sanketi:
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. 212-224 - Jan Achterhold
, Markus Krimmel, Joerg Stueckler:
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning. 225-236 - Jonas Rothfuss, Christopher König, Alisa Rupenyan, Andreas Krause:
Meta-Learning Priors for Safe Bayesian Optimization. 237-265 - Yutao Han, Youya Xia, Guo-Jun Qi, Mark E. Campbell:
Planning Paths through Occlusions in Urban Environments. 266-275 - Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg:
Rethinking Optimization with Differentiable Simulation from a Global Perspective. 276-286 - Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu:
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. 287-318 - Sudharshan Suresh, Zilin Si, Stuart Anderson, Michael Kaess, Mustafa Mukadam:
MidasTouch: Monte-Carlo inference over distributions across sliding touch. 319-331 - Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh:
Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding. 332-341 - Chenhao Li, Marin Vlastelica, Sebastian Blaes, Jonas Frey, Felix Grimminger, Georg Martius:
Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations. 342-352 - Justin Kerr, Letian Fu, Huang Huang, Yahav Avigal, Matthew Tancik, Jeffrey Ichnowski, Angjoo Kanazawa, Ken Goldberg:
Evo-NeRF: Evolving NeRF for Sequential Robot Grasping of Transparent Objects. 353-367 - Ryan Hoque, Lawrence Yunliang Chen, Satvik Sharma, Karthik Dharmarajan, Brijen Thananjeyan, Pieter Abbeel, Ken Goldberg:
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision. 368-380 - Haruki Nishimura, Jean Mercat, Blake Wulfe, Rowan Thomas McAllister, Adrien Gaidon:
RAP: Risk-Aware Prediction for Robust Planning. 381-392 - Nuri Kim, Obin Kwon, Hwiyeon Yoo, Yunho Choi, Jeongho Park, Songhwai Oh:
Topological Semantic Graph Memory for Image-Goal Navigation. 393-402 - Ananye Agarwal, Ashish Kumar, Jitendra Malik, Deepak Pathak:
Legged Locomotion in Challenging Terrains using Egocentric Vision. 403-415 - Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell:
Real-World Robot Learning with Masked Visual Pre-training. 416-426 - Seungyeon Kim, Byeongdo Lim, Yonghyeon Lee, Frank C. Park:
SE(2)-Equivariant Pushing Dynamics Models for Tabletop Object Manipulations. 427-436 - Zhi Liu, Shaoyu Chen, Xiaojie Guo, Xinggang Wang, Tianheng Cheng, Hongmei Zhu, Qian Zhang, Wenyu Liu, Yi Zhang:
Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation. 437-446 - Xingyu Liu, Deepak Pathak, Kris M. Kitani:
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. 447-458 - Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger:
PlanT: Explainable Planning Transformers via Object-Level Representations. 459-470 - Vitalis Vosylius, Edward Johns:
Where To Start? Transferring Simple Skills to Complex Environments. 471-481 - Maiyue Chen, Guangyi He:
Efficient and Stable Off-policy Training via Behavior-aware Evolutionary Learning. 482-491 - Dhruv Shah, Blazej Osinski, Brian Ichter, Sergey Levine:
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action. 492-504 - Zeyi Liu, Zhenjia Xu, Shuran Song:
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment. 505-515 - Ninad Khargonkar, Neil Song, Zesheng Xu, B. Prabhakaran, Yu Xiang:
NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands. 516-526 - Minghua Liu, Xuanlin Li, Zhan Ling, Yangyan Li, Hao Su:
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds. 527-538 - Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou:
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation. 539-549 - Denis Hadjivelichkov, Sicelukwanda Zwane, Lourdes Agapito, Marc Peter Deisenroth, Dimitrios Kanoulas:
One-Shot Transfer of Affordance Regions? AffCorrs! 550-560 - Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool:
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. 561-570 - Chongkai Gao, Zekun Li, Haichuan Gao, Feng Chen:
Iterative Interactive Modeling for Knotting Plastic Bags. 571-582 - Debasmita Ghose, Michal Adam Lewkowicz, Kaleb Gezahegn, Julian Lee, Timothy Adamson, Marynel Vázquez, Brian Scassellati:
Tailoring Visual Object Representations to Human Requirements: A Case Study with a Recycling Robot. 583-593 - Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Hao Su, Xiaolong Wang:
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation. 594-605 - Masha Itkina, Mykel J. Kochenderfer:
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction. 606-617 - Yueh-Hua Wu, Jiashun Wang, Xiaolong Wang:
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance. 618-629 - Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Barsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun:
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. 630-642 - Huy Ha, Shuran Song:
Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language Models. 643-653 - Kenneth Shaw, Shikhar Bahl, Deepak Pathak:
VideoDex: Learning Dexterity from Internet Videos. 654-665 - Justin Wasserman, Karmesh Yadav, Girish Chowdhary, Abhinav Gupta, Unnat Jain:
Last-Mile Embodied Visual Navigation. 666-678 - Jacky Liang, Xianyi Cheng, Oliver Kroemer:
Learning Preconditions of Hybrid Force-Velocity Controllers for Contact-Rich Manipulation. 679-689 - Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai:
Cross-Domain Transfer via Semantic Skill Imitation. 690-700 - Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Skills for Bilevel Planning. 701-714 - Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic:
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. 715-725 - Hao Shao, Letian Wang, Ruobing Chen, Hongsheng Li, Yu Liu:
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer. 726-737 - Ruohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martín-Martín, Li Fei-Fei, Jiajun Wu:
A Dual Representation Framework for Robot Learning with Human Guidance. 738-750 - Kiyanoush Nazari, Willow Mandil, Amir Masoud Ghalamzan Esfahani:
Proactive slip control by learned slip model and trajectory adaptation. 751-761 - Chongkai Gao, Yizhou Jiang, Feng Chen:
Transferring Hierarchical Structures with Dual Meta Imitation Learning. 762-773 - Parth Kothari, Danya Li, Yuejiang Liu, Alexandre Alahi:
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting. 774-784 - Mohit Shridhar, Lucas Manuelli, Dieter Fox:
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation. 785-799 - Shubhankar Agarwal
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control. 800-811 - Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation. 812-823 - Junhao Cai, Jingcheng Su, Zida Zhou, Hui Cheng, Qifeng Chen, Michael Yu Wang:
Volumetric-based Contact Point Detection for 7-DoF Grasping. 824-834 - Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal:
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. 835-846 - Jikun Kang, Miao Liu, Abhinav Gupta, Christopher Pal, Xue (Steve) Liu, Jie Fu:
Learning Multi-Objective Curricula for Robotic Policy Learning. 847-858 - Joanne Truong, Max Rudolph, Naoki Yokoyama, Sonia Chernova, Dhruv Batra, Akshara Rai:
Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation. 859-870 - Christian Graf, David B. Adrian, Joshua Weil, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Heiko Neumann, Andras Gabor Kupcsik:
Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks. 871-880 - Maithili Patel, Sonia Chernova:
Proactive Robot Assistance via Spatio-Temporal Object Modeling. 881-891 - Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta:
R3M: A Universal Visual Representation for Robot Manipulation. 892-909 - Xiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, Yu Qiao:
Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach. 910-920 - Jan Ondras, Abrar Anwar, Tong Wu, Fanjun Bu, Malte F. Jung, Jorge Jose Ortiz, Tapomayukh Bhattacharjee:
Human-Robot Commensality: Bite Timing Prediction for Robot-Assisted Feeding in Groups. 921-933 - Chenning Yu, Hongzhan Yu, Sicun Gao:
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation. 934-945 - Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao:
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. 946-955 - Mariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay:
Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal Teaching. 956-966 - Adam Fishman, Adithyavairavan Murali, Clemens Eppner, Bryan Peele, Byron Boots, Dieter Fox:
Motion Policy Networks. 967-977 - Oguzhan Akcin, Po-han Li, Shubhankar Agarwal
Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach. 978-988 - Runsheng Xu, Zhengzhong Tu, Hao Xiang, Wei Shao, Bolei Zhou, Jiaqi Ma:
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers. 989-1000 - Bingjie Tang, Gaurav S. Sukhatme:
Selective Object Rearrangement in Clutter. 1001-1010 - Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai:
Transformers Are Adaptable Task Planners. 1011-1037 - Daniel Seita, Yufei Wang, Sarthak J. Shetty, Edward Yao Li, Zackory Erickson, David Held:
ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds. 1038-1049 - Hao Sha, Qianen Lai, Hongxiang Yu, Rong Xiong, Yue Wang:
Fusing Priori and Posteriori Metrics for Automatic Dataset Annotation of Planar Grasping. 1050-1059 - Thomas Jantos, Mohamed Amin Hamdad, Wolfgang Granig, Stephan Weiss, Jan Steinbrener:
PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose Estimation. 1060-1070 - Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations. 1071-1080 - Joshua Niemeijer, Jörg Peter Schäfer:
Domain Adaptation and Generalization: A Low-Complexity Approach. 1081-1091 - Cunjun Yu, Yiqing Xu, Linfeng Li, David Hsu:
COACH: Cooperative Robot Teaching. 1092-1103 - Jannik Zürn, Sebastian Weber, Wolfram Burgard:
TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant Trajectories. 1104-1113 - Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu:
HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving. 1114-1124 - Peng Yun, Ming Liu:
Laplace Approximation Based Epistemic Uncertainty Estimation in 3D Object Detection. 1125-1135 - Shuai Song, Shuo Yang, Ran Song, Shilei Chu, Yibin Li, Wei Zhang:
Towards Online 3D Bin Packing: Learning Synergies between Packing and Unpacking via DRL. 1136-1145 - Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen:
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward. 1146-1156 - Kelsey R. Allen, Tatiana Lopez-Guevara, Yulia Rubanova, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff:
Graph network simulators can learn discontinuous, rigid contact dynamics. 1157-1167 - Angad Singh, Omar Makhlouf, Maximilian Igl, João V. Messias, Arnaud Doucet, Shimon Whiteson:
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving. 1168-1177 - Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel F. B. Haeufle:
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. 1178-1188 - Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda:
Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. 1189-1198 - Yifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu:
VIOLA: Object-Centric Imitation Learning for Vision-Based Robot Manipulation. 1199-1210 - Jiechao Zhang, Hadi Beik-Mohammadi, Leonel Rozo:
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms. 1211-1221 - Zoey Qiuyu Chen, Karl Van Wyk, Yu-Wei Chao, Wei Yang, Arsalan Mousavian, Abhishek Gupta, Dieter Fox:
Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation. 1222-1232 - Kishan Chandan, Jack Albertson, Shiqi Zhang:
Learning Visualization Policies of Augmented Reality for Human-Robot Collaboration. 1233-1243 - Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann:
Deep Black-Box Reinforcement Learning with Movement Primitives. 1244-1265 - Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan:
Discriminator-Guided Model-Based Offline Imitation Learning. 1266-1276 - Xiangru Huang, Yue Wang, Vitor Campanholo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin M. Solomon:
Representation Learning for Object Detection from Unlabeled Point Cloud Sequences. 1277-1288 - Zexi Chen, Haozhe Du, Xuecheng Xu, Rong Xiong, Yiyi Liao, Yue Wang:
Learning Interpretable BEV Based VIO without Deep Neural Networks. 1289-1298 - Jianshu Hu
Solving Complex Manipulation Tasks with Model-Assisted Model-Free Reinforcement Learning. 1299-1308 - Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. 1309-1320 - Jiaheng Hu, Julian Whitman, Howie Choset:
GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation. 1321-1331 - Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel:
Masked World Models for Visual Control. 1332-1344 - Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt:
On-Robot Learning With Equivariant Models. 1345-1354 - Mandy Xie, Ankur Handa, Stephen Tyree, Dieter Fox, Harish Ravichandar, Nathan D. Ratliff, Karl Van Wyk:
Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration. 1355-1367 - Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A. Lee, Huazhe Xu, Edward H. Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu:
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation. 1368-1378 - Niklas Freymuth, Nicolas Schreiber, Aleksandar Taranovic, Philipp Becker, Gerhard Neumann:
Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors. 1379-1389 - Guanglin Li, Yifeng Li, Zhichao Ye, Qihang Zhang, Tao Kong, Zhaopeng Cui, Guofeng Zhang:
Generative Category-Level Shape and Pose Estimation with Semantic Primitives. 1390-1400 - Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari:
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping. 1401-1410 - Christopher E. Mower, Theodoros Stouraitis, João Moura, Christian Rauch, Lei Yan, Nazanin Zamani Behabadi, Michael Gienger, Tom Vercauteren, Christos Bergeles, Sethu Vijayakumar:
ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction. 1411-1423 - Suneel Belkhale, Dorsa Sadigh:
PLATO: Predicting Latent Affordances Through Object-Centric Play. 1424-1434 - Walter Goodwin, Ioannis Havoutis, Ingmar Posner:
You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example. 1435-1445 - Ankur Deka, Changliu Liu, Katia P. Sycara:
ARC - Actor Residual Critic for Adversarial Imitation Learning. 1446-1456 - Wenjie Luo, Cheol Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov:
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving. 1457-1467 - Saurabh Arora, Prashant Doshi, Bikramjit Banerjee:
Online Inverse Reinforcement Learning with Learned Observation Model. 1468-1477 - Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson:
Hypernetworks in Meta-Reinforcement Learning. 1478-1487 - Jie Xu, Sangwoon Kim, Tao Chen, Alberto Rodriguez Garcia, Pulkit Agrawal, Wojciech Matusik, Shinjiro Sueda:
Efficient Tactile Simulation with Differentiability for Robotic Manipulation. 1488-1498 - Souradeep Dutta, Kaustubh Sridhar, Osbert Bastani, Edgar Dobriban, James Weimer, Insup Lee, Julia Parish-Morris:
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates. 1499-1509 - Jennifer Grannen, Yilin Wu, Suneel Belkhale, Dorsa Sadigh:
Learning Bimanual Scooping Policies for Food Acquisition. 1510-1519 - Chien Erh Lin, Jingwei Song, Ray Zhang, Minghan Zhu, Maani Ghaffari
SE(3)-Equivariant Point Cloud-Based Place Recognition. 1520-1530 - Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik R. Narasimhan, Anirudha Majumdar:
Leveraging Language for Accelerated Learning of Tool Manipulation. 1531-1541 - Pamela Carreno, Dana Kulic, Michael G. Burke:
Adapting Neural Models with Sequential Monte Carlo Dropout. 1542-1552 - Nils Wilde, Javier Alonso-Mora:
Do we use the Right Measure? Challenges in Evaluating Reward Learning Algorithms. 1553-1562 - Krishna Murthy Jatavallabhula, Miles Macklin, Dieter Fox, Animesh Garg, Fabio Ramos:
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming. 1563-1574 - Brian Okorn, Chuer Pan, Martial Hebert, David Held:
Deep Projective Rotation Estimation through Relative Supervision. 1575-1585 - Bugra Can Sefercik, Baris Akgün:
Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation. 1586-1595 - Neha Sunil, Shaoxiong Wang, Yu She, Edward H. Adelson, Alberto Rodriguez Garcia:
Visuotactile Affordances for Cloth Manipulation with Local Control. 1596-1606 - Charles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez:
Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty. 1607-1617 - Shaohong Zhong, Alessandro Albini, Oiwi Parker Jones, Perla Maiolino, Ingmar Posner:
Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation. 1618-1628 - Kasun Weerakoon, Souradip Chakraborty, Nare Karapetyan, Adarsh Jagan Sathyamoorthy, Amrit S. Bedi, Dinesh Manocha:
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm. 1629-1639 - Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held:
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. 1640-1651 - Homer Walke, Jonathan Yang, Albert Yu, Aviral Kumar, Jedrzej Orbik, Avi Singh, Sergey Levine:
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning. 1652-1662 - Florent Bartoccioni, Eloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. 1663-1672 - Hai Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt:
Leveraging Fully Observable Policies for Learning under Partial Observability. 1673-1683 - Yifan Zhou, Shubham D. Sonawani, Mariano J. Phielipp, Simon Stepputtis, Heni Ben Amor:
Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation. 1684-1695 - Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu:
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale. 1696-1707 - Xuesu Xiao, Tingnan Zhang, Krzysztof Marcin Choromanski, Tsang-Wei Edward Lee, Anthony G. Francis, Jake Varley, Stephen Tu, Sumeet Singh, Peng Xu, Fei Xia, Sven Mikael Persson, Dmitry Kalashnikov, Leila Takayama, Roy Frostig, Jie Tan, Carolina Parada, Vikas Sindhwani:
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation. 1708-1721 - Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik:
In-Hand Object Rotation via Rapid Motor Adaptation. 1722-1732 - Jacob Sacks, Byron Boots:
Learning Sampling Distributions for Model Predictive Control. 1733-1742 - Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following. 1743-1754 - Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint:
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. 1755-1768 - Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Tomas Jackson, Noah Brown, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter:
Inner Monologue: Embodied Reasoning through Planning with Language Models. 1769-1782 - Chuer Pan, Brian Okorn, Harry Zhang, Ben Eisner, David Held:
TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation. 1783-1792 - Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki:
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving. 1793-1805 - Youngsun Wi, Andy Zeng, Pete Florence, Nima Fazeli:
VIRDO++: Real-World, Visuo-tactile Dynamics and Perception of Deformable Objects. 1806-1816 - Mostafa Hussein, Momotaz Begum:
Detecting Incorrect Visual Demonstrations for Improved Policy Learning. 1817-1827 - Renos Zabounidis, Joseph Campbell, Simon Stepputtis, Dana Hughes, Katia P. Sycara:
Concept Learning for Interpretable Multi-Agent Reinforcement Learning. 1828-1837 - Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard:
Latent Plans for Task-Agnostic Offline Reinforcement Learning. 1838-1849 - Miquel Oller, Mireia Planas, Dmitry Berenson, Nima Fazeli:
Manipulation via Membranes: High-Resolution and Highly Deformable Tactile Sensing and Control. 1850-1859 - Gilhyun Ryou, Ezra Tal, Sertac Karaman:
Real-Time Generation of Time-Optimal Quadrotor Trajectories with Semi-Supervised Seq2Seq Learning. 1860-1870 - John So, Amber Xie, Sunggoo Jung, Jeffrey A. Edlund, Rohan Thakker, Ali-akbar Agha-mohammadi, Pieter Abbeel, Stephen James:
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data. 1871-1881 - Zihao Xiao, Alan L. Yuille, Yi-Ting Chen:
Learning Road Scene-level Representations via Semantic Region Prediction. 1882-1892 - Gilbert Feng, Hongbo Zhang, Zhongyu Li, Xue Bin Peng, Bhuvan Basireddy, Linzhu Yue, Zhitao Song, Lizhi Yang, Yunhui Liu, Koushil Sreenath, Sergey Levine:
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots. 1893-1903 - Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong:
Towards Long-Tailed 3D Detection. 1904-1915 - Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola:
MIRA: Mental Imagery for Robotic Affordances. 1916-1927 - Yuhong Cao, Yizhuo Wang, Apoorva Vashisth, Haolin Fan
CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning. 1928-1937 - Albert Wu, Michelle Guo, C. Karen Liu:
Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization. 1938-1948 - Alec Reed, Guillaume O. Berger, Sriram Sankaranarayanan, Christoffer Heckman:
Verified Path Following Using Neural Control Lyapunov Functions. 1949-1958 - Alec Farid, Sushant Veer, Boris Ivanovic, Karen Leung, Marco Pavone:
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles. 1959-1969 - Simin Liu, Changliu Liu, John M. Dolan:
Safe Control Under Input Limits with Neural Control Barrier Functions. 1970-1980 - Kanishk Gandhi, Siddharth Karamcheti, Madeline Liao, Dorsa Sadigh:
Eliciting Compatible Demonstrations for Multi-Human Imitation Learning. 1981-1991 - Madhu Vankadari, Stuart Golodetz, Sourav Garg, Sangyun Shin
When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation. 1992-2003 - Haoxiang Ma, Di Huang:
Towards Scale Balanced 6-DoF Grasp Detection in Cluttered Scenes. 2004-2013 - Donald Joseph Hejna III, Dorsa Sadigh:
Few-Shot Preference Learning for Human-in-the-Loop RL. 2014-2025 - Yizhou Chen, Mark Van der Merwe, Andrea Sipos, Nima Fazeli:
Visuo-Tactile Transformers for Manipulation. 2026-2040 - Kaylee Burns, Tianhe Yu, Chelsea Finn, Karol Hausman:
Offline Reinforcement Learning at Multiple Frequencies. 2041-2051 - Mark Van der Merwe, Dmitry Berenson, Nima Fazeli:
Learning the Dynamics of Compliant Tool-Environment Interaction for Visuo-Tactile Contact Servoing. 2052-2061 - Yiming Li, Juexiao Zhang, Dekun Ma, Yue Wang, Chen Feng:
Multi-Robot Scene Completion: Towards Task-Agnostic Collaborative Perception. 2062-2072 - Liam Schramm, Yunfu Deng, Edgar Granados, Abdeslam Boularias:
USHER: Unbiased Sampling for Hindsight Experience Replay. 2073-2082 - Letian Chen, Sravan Jayanthi, Rohan R. Paleja, Daniel Martin, Viacheslav Zakharov, Matthew C. Gombolay:
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations. 2083-2094 - Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Sünderhauf:
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics. 2095-2104 - Jerry Zhi-Yang He, Zackory Erickson, Daniel S. Brown, Aditi Raghunathan, Anca D. Dragan:
Learning Representations that Enable Generalization in Assistive Tasks. 2105-2114 - Yoonchang Sung, Zizhao Wang, Peter Stone:
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning. 2115-2124 - Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath:
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. 2125-2135 - Sergey Zakharov, Rares Andrei Ambrus, Katherine Liu, Adrien Gaidon:
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. 2136-2147 - Keyvan Majd, Geoffrey Mitchell Clark, Tanmay Khandait, Siyu Zhou, Sriram Sankaranarayanan, Georgios Fainekos, Heni Ben Amor:
Safe Robot Learning in Assistive Devices through Neural Network Repair. 2148-2158 - Sachin G. Konan, Esmaeil Seraj, Matthew C. Gombolay:
Contrastive Decision Transformers. 2159-2169 - Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone:
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. 2170-2180 - Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu:
Learning and Retrieval from Prior Data for Skill-based Imitation Learning. 2181-2204 - Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Learning Semantics-Aware Locomotion Skills from Human Demonstration. 2205-2214 - Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo:
TRITON: Neural Neural Textures for Better Sim2Real. 2215-2225 - Philipp Wu, Alejandro Escontrela, Danijar Hafner, Pieter Abbeel, Ken Goldberg:
DayDreamer: World Models for Physical Robot Learning. 2226-2240 - Tesca Fitzgerald, Pallavi Koppol, Patrick Callaghan, Russell Quinlan Jun Hei Wong, Reid G. Simmons, Oliver Kroemer, Henny Admoni:
INQUIRE: INteractive Querying for User-aware Informative REasoning. 2241-2250 - Tom Z. Jiahao, Kong Yao Chee, M. Ani Hsieh:
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots. 2251-2261 - Lucy Xiaoyang Shi, Joseph J. Lim, Youngwoon Lee:
Skill-based Model-based Reinforcement Learning. 2262-2272 - Brian Edward Jackson, Jeong Hun Lee, Kevin Tracy, Zachary Manchester:
Data-Efficient Model Learning for Control with Jacobian-Regularized Dynamic-Mode Decomposition. 2273-2283 - Jason Toskov, Rhys Newbury, Mustafa Mukadam, Dana Kulic, Akansel Cosgun:
In-Hand Gravitational Pivoting Using Tactile Sensing. 2284-2293 - Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu:
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion. 2294-2305 - Yanran Wang
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking. 2306-2316
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