[edit]
[edit]
Editors: Jie Tan, Marc Toussaint, Kourosh Darvish
Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning
; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1-22
Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning
Robert Gieselmann, Florian T. Pokorny; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1-22
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning
Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian Reid, Niko Suenderhauf; Proceedings of The 7th Conference on Robot Learning, PMLR 229:23-72
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning
Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian Reid, Niko Suenderhauf; Proceedings of The 7th Conference on Robot Learning, PMLR 229:23-72
Robot Parkour Learning
Ziwen Zhuang, Zipeng Fu, Jianren Wang, Christopher G. Atkeson, Sören Schwertfeger, Chelsea Finn, Hang Zhao; Proceedings of The 7th Conference on Robot Learning, PMLR 229:73-92
Task-Oriented Koopman-Based Control with Contrastive Encoder
Xubo Lyu, Hanyang Hu, Seth Siriya, Ye Pu, Mo Chen; Proceedings of The 7th Conference on Robot Learning, PMLR 229:93-105
On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills
Yunhai Han, Mandy Xie, Ye Zhao, Harish Ravichandar; Proceedings of The 7th Conference on Robot Learning, PMLR 229:106-126
Rearrangement Planning for General Part Assembly
Yulong Li, Andy Zeng, Shuran Song; Proceedings of The 7th Conference on Robot Learning, PMLR 229:127-143
Language-Guided Traffic Simulation via Scene-Level Diffusion
Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray; Proceedings of The 7th Conference on Robot Learning, PMLR 229:144-177
Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping
Adam Rashid, Satvik Sharma, Chung Min Kim, Justin Kerr, Lawrence Yunliang Chen, Angjoo Kanazawa, Ken Goldberg; Proceedings of The 7th Conference on Robot Learning, PMLR 229:178-200
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar; Proceedings of The 7th Conference on Robot Learning, PMLR 229:201-221
Continual Vision-based Reinforcement Learning with Group Symmetries
Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao; Proceedings of The 7th Conference on Robot Learning, PMLR 229:222-240
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation
Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held; Proceedings of The 7th Conference on Robot Learning, PMLR 229:241-265
Hijacking Robot Teams Through Adversarial Communication
Zixuan Wu, Sean Charles Ye, Byeolyi Han, Matthew Gombolay; Proceedings of The 7th Conference on Robot Learning, PMLR 229:266-283
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields
Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang; Proceedings of The 7th Conference on Robot Learning, PMLR 229:284-301
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim; Proceedings of The 7th Conference on Robot Learning, PMLR 229:302-325
DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control
Kevin Huang, Rwik Rana, Alexander Spitzer, Guanya Shi, Byron Boots; Proceedings of The 7th Conference on Robot Learning, PMLR 229:326-340
HANDLOOM: Learned Tracing of One-Dimensional Objects for Inspection and Manipulation
Vainavi Viswanath, Kaushik Shivakumar, Mallika Parulekar, Jainil Ajmera, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg; Proceedings of The 7th Conference on Robot Learning, PMLR 229:341-357
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks
Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell; Proceedings of The 7th Conference on Robot Learning, PMLR 229:358-373
Language to Rewards for Robotic Skill Synthesis
Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montserrat Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia; Proceedings of The 7th Conference on Robot Learning, PMLR 229:374-404
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola; Proceedings of The 7th Conference on Robot Learning, PMLR 229:405-424
Finetuning Offline World Models in the Real World
Yunhai Feng, Nicklas Hansen, Ziyan Xiong, Chandramouli Rajagopalan, Xiaolong Wang; Proceedings of The 7th Conference on Robot Learning, PMLR 229:425-445
Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Bedi, Dinesh Manocha; Proceedings of The 7th Conference on Robot Learning, PMLR 229:446-477
PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training
Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, QIANG FU, Xueqian Wang; Proceedings of The 7th Conference on Robot Learning, PMLR 229:478-498
Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering
Xinghao Zhu, JingHan Ke, Zhixuan Xu, Zhixin Sun, Bizhe Bai, Jun Lv, Qingtao Liu, Yuwei Zeng, Qi Ye, Cewu Lu, Masayoshi Tomizuka, Lin Shao; Proceedings of The 7th Conference on Robot Learning, PMLR 229:499-512
Surrogate Assisted Generation of Human-Robot Interaction Scenarios
Varun Bhatt, Heramb Nemlekar, Matthew Christopher Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis; Proceedings of The 7th Conference on Robot Learning, PMLR 229:513-539
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei; Proceedings of The 7th Conference on Robot Learning, PMLR 229:540-562
Stabilize to Act: Learning to Coordinate for Bimanual Manipulation
Jennifer Grannen, Yilin Wu, Brandon Vu, Dorsa Sadigh; Proceedings of The 7th Conference on Robot Learning, PMLR 229:563-576
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations
Franck Djeumou, Cyrus Neary, Ufuk Topcu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:577-601
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation
Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin Hasani, Daniela Rus; Proceedings of The 7th Conference on Robot Learning, PMLR 229:602-641
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools
Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:642-660
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar; Proceedings of The 7th Conference on Robot Learning, PMLR 229:661-682
Robot Learning with Sensorimotor Pre-training
Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik; Proceedings of The 7th Conference on Robot Learning, PMLR 229:683-693
RVT: Robotic View Transformer for 3D Object Manipulation
Ankit Goyal, Jie Xu, Yijie Guo, Valts Blukis, Yu-Wei Chao, Dieter Fox; Proceedings of The 7th Conference on Robot Learning, PMLR 229:694-710
ViNT: A Foundation Model for Visual Navigation
Dhruv Shah, Ajay Sridhar, Nitish Dashora, Kyle Stachowicz, Kevin Black, Noriaki Hirose, Sergey Levine; Proceedings of The 7th Conference on Robot Learning, PMLR 229:711-733
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery
Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao; Proceedings of The 7th Conference on Robot Learning, PMLR 229:734-760
Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing
Jingyun Ning, Madhur Behl; Proceedings of The 7th Conference on Robot Learning, PMLR 229:761-773
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback
Max Balsells, Marcel Torne Villasevil, Zihan Wang, Samedh Desai, Pulkit Agrawal, Abhishek Gupta; Proceedings of The 7th Conference on Robot Learning, PMLR 229:774-799
Learning Realistic Traffic Agents in Closed-loop
Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun; Proceedings of The 7th Conference on Robot Learning, PMLR 229:800-821
Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves
Seungyeon Kim, Young Hun Kim, Yonghyeon Lee, Frank C. Park; Proceedings of The 7th Conference on Robot Learning, PMLR 229:822-848
SCONE: A Food Scooping Robot Learning Framework with Active Perception
Yen-Ling Tai, Yu Chien Chiu, Yu-Wei Chao, Yi-Ting Chen; Proceedings of The 7th Conference on Robot Learning, PMLR 229:849-865
Fine-Tuning Generative Models as an Inference Method for Robotic Tasks
Orr Krupnik, Elisei Shafer, Tom Jurgenson, Aviv Tamar; Proceedings of The 7th Conference on Robot Learning, PMLR 229:866-886
Learning to Design and Use Tools for Robotic Manipulation
Ziang Liu, Stephen Tian, Michelle Guo, Karen Liu, Jiajun Wu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:887-905
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning
Jinxin Liu, Lipeng Zu, Li He, Donglin Wang; Proceedings of The 7th Conference on Robot Learning, PMLR 229:906-927
DEFT: Dexterous Fine-Tuning for Hand Policies
Aditya Kannan, Kenneth Shaw, Shikhar Bahl, Pragna Mannam, Deepak Pathak; Proceedings of The 7th Conference on Robot Learning, PMLR 229:928-942
One-Shot Imitation Learning: A Pose Estimation Perspective
Pietro Vitiello, Kamil Dreczkowski, Edward Johns; Proceedings of The 7th Conference on Robot Learning, PMLR 229:943-970
Semantic Mechanical Search with Large Vision and Language Models
Satvik Sharma, Huang Huang, Kaushik Shivakumar, Lawrence Yunliang Chen, Ryan Hoque, Brian Ichter, Ken Goldberg; Proceedings of The 7th Conference on Robot Learning, PMLR 229:971-1005
KITE: Keypoint-Conditioned Policies for Semantic Manipulation
Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh, Jeannette Bohg; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1006-1021
BM2CP: Efficient Collaborative Perception with LiDAR-Camera Modalities
Binyu Zhao, Wei ZHANG, Zhaonian Zou; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1022-1035
That Sounds Right: Auditory Self-Supervision for Dynamic Robot Manipulation
Abitha Thankaraj, Lerrel Pinto; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1036-1049
ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting
Kushal Kedia, Prithwish Dan, Atiksh Bhardwaj, Sanjiban Choudhury; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1050-1067
Predicting Routine Object Usage for Proactive Robot Assistance
Maithili Patel, Aswin Gururaj Prakash, Sonia Chernova; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1068-1083
Grounding Complex Natural Language Commands for Temporal Tasks in Unseen Environments
Jason Xinyu Liu, Ziyi Yang, Ifrah Idrees, Sam Liang, Benjamin Schornstein, Stefanie Tellex, Ankit Shah; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1084-1110
HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs
Esteve Valls Mascaro, Daniel Sliwowski, Dongheui Lee; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1111-1130
Reinforcement Learning Enables Real-Time Planning and Control of Agile Maneuvers for Soft Robot Arms
Rianna Jitosho, Tyler Ga Wei Lum, Allison Okamura, Karen Liu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1131-1153
A Policy Optimization Method Towards Optimal-time Stability
Shengjie Wang, Lan Fengb, Xiang Zheng, Yuxue Cao, Oluwatosin OluwaPelumi Oseni, Haotian Xu, Tao Zhang, Yang Gao; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1154-1182
An Unbiased Look at Datasets for Visuo-Motor Pre-Training
Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain, Abhinav Gupta; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1183-1198
Equivariant Motion Manifold Primitives
Byeongho Lee, Yonghyeon Lee, Seungyeon Kim, MinJun Son, Frank C. Park; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1199-1221
FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection
Harry Zhang, Ben Eisner, David Held; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1222-1241
Geometry Matching for Multi-Embodiment Grasping
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1242-1256
Contrastive Value Learning: Implicit Models for Simple Offline RL
Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1257-1267
Parting with Misconceptions about Learning-based Vehicle Motion Planning
Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1268-1281
Learning Sequential Acquisition Policies for Robot-Assisted Feeding
Priya Sundaresan, Jiajun Wu, Dorsa Sadigh; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1282-1299
Composable Part-Based Manipulation
Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1300-1315
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation
Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1316-1334
FindThis: Language-Driven Object Disambiguation in Indoor Environments
Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas Guibas; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1335-1347
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning
Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1348-1361
Batch Differentiable Pose Refinement for In-The-Wild Camera/LiDAR Extrinsic Calibration
Lanke Frank Tarimo Fu, Maurice Fallon; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1362-1377
Fleet Active Learning: A Submodular Maximization Approach
Oguzhan Akcin, Orhan Unuvar, Onat Ure, Sandeep P. Chinchali; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1378-1399
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization
Yuan Zhang, Jianhong Wang, Joschka Boedecker; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1400-1424
Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area
Jingsong Liang, Zhichen Wang, Yuhong Cao, Jimmy Chiun, Mengqi Zhang, Guillaume Adrien Sartoretti; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1425-1436
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning
Sachit Kuhar, Shuo Cheng, Shivang Chopra, Matthew Bronars, Danfei Xu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1437-1449
Language-guided Robot Grasping: CLIP-based Referring Grasp Synthesis in Clutter
Georgios Tziafas, Yucheng XU, Arushi Goel, Mohammadreza Kasaei, Zhibin Li, Hamidreza Kasaei; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1450-1466
Learning Reusable Manipulation Strategies
Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1467-1483
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards
Katherine Metcalf, Miguel Sarabia, Natalie Mackraz, Barry-John Theobald; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1484-1532
Im2Contact: Vision-Based Contact Localization Without Touch or Force Sensing
Leon Kim, Yunshuang Li, Michael Posa, Dinesh Jayaraman; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1533-1546
DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation
Sravan Jayanthi, Letian Chen, Nadya Balabanska, Van Duong, Erik Scarlatescu, Ezra Ameperosa, Zulfiqar Haider Zaidi, Daniel Martin, Taylor Keith Del Matto, Masahiro Ono, Matthew Gombolay; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1547-1571
SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects
Ning Gao, Vien Anh Ngo, Hanna Ziesche, Gerhard Neumann; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1572-1595
Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model
Matan Sudry, Tom Jurgenson, Aviv Tamar, Erez Karpas; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1596-1609
OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data
Shiyang Lu, Haonan Chang, Eric Pu Jing, Abdeslam Boularias, Kostas Bekris; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1610-1620
Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning
Xiang Zhang, Changhao Wang, Lingfeng Sun, Zheng Wu, Xinghao Zhu, Masayoshi Tomizuka; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1621-1639
Tell Me Where to Go: A Composable Framework for Context-Aware Embodied Robot Navigation
Harel Biggie, Ajay Narasimha Mopidevi, Dusty Woods, Chris Heckman; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1640-1666
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation
Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1667-1685
Stochastic Occupancy Grid Map Prediction in Dynamic Scenes
Zhanteng Xie, Philip Dames; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1686-1705
A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling
Charles Dawson, Chuchu Fan; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1706-1722
BridgeData V2: A Dataset for Robot Learning at Scale
Homer Rich Walke, Kevin Black, Tony Z. Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, Abraham Lee, Kuan Fang, Chelsea Finn, Sergey Levine; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1723-1736
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities
Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1737-1760
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation
Shizhe Chen, Ricardo Garcia Pinel, Cordelia Schmid, Ivan Laptev; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1761-1781
Stealthy Terrain-Aware Multi-Agent Active Search
Nikhil Angad Bakshi, Jeff Schneider; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1782-1796
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots
Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Rose Driggs-Campbell; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1797-1819
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Ajay Mandlekar, Soroush Nasiriany, Bowen Wen, Iretiayo Akinola, Yashraj Narang, Linxi Fan, Yuke Zhu, Dieter Fox; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1820-1864
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier
Jerry Zhi-Yang He, Daniel S. Brown, Zackory Erickson, Anca Dragan; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1865-1886
Dynamic Handover: Throw and Catch with Bimanual Hands
Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1887-1902
Cross-Dataset Sensor Alignment: Making Visual 3D Object Detector Generalizable
Liangtao Zheng, Yicheng Liu, Yue Wang, Hang Zhao; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1903-1929
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation
Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1930-1949
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs
Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Pu Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas Bekris, Abdeslam Boularias; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1950-1974
HomeRobot: Open-Vocabulary Mobile Manipulation
Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Theophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton; Proceedings of The 7th Conference on Robot Learning, PMLR 229:1975-2011
PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play
Lili Chen, Shikhar Bahl, Deepak Pathak; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2012-2029
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement
Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez Garcia, Pulkit Agrawal, Dieter Fox; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2030-2069
Learning Efficient Abstract Planning Models that Choose What to Predict
Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2070-2095
DYNAMO-GRASP: DYNAMics-aware Optimization for GRASP Point Detection in Suction Grippers
Boling Yang, Soofiyan Atar, Markus Grotz, Byron Boots, Joshua Smith; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2096-2112
HYDRA: Hybrid Robot Actions for Imitation Learning
Suneel Belkhale, Yuchen Cui, Dorsa Sadigh; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2113-2133
Embodied Lifelong Learning for Task and Motion Planning
Jorge Mendez-Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2134-2150
4D-Former: Multimodal 4D Panoptic Segmentation
Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2151-2164
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2165-2183
Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control
David DeFazio, Eisuke Hirota, Shiqi Zhang; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2184-2194
Waypoint-Based Imitation Learning for Robotic Manipulation
Lucy Xiaoyang Shi, Archit Sharma, Tony Z. Zhao, Chelsea Finn; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2195-2209
Multi-Resolution Sensing for Real-Time Control with Vision-Language Models
Saumya Saxena, Mohit Sharma, Oliver Kroemer; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2210-2228
SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation
Tabitha Edith Lee, Shivam Vats, Siddharth Girdhar, Oliver Kroemer; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2229-2256
Learning Robot Manipulation from Cross-Morphology Demonstration
Gautam Salhotra, I-Chun Arthur Liu, Gaurav S. Sukhatme; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2257-2277
Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills
Eric Rosen, Steven James, Sergio Orozco, Vedant Gupta, Max Merlin, Stefanie Tellex, George Konidaris; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2278-2287
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism
J. Taery Kim, Wenhao Yu, Yash Kothari, Bruce Walker, Jie Tan, Greg Turk, Sehoon Ha; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2288-2303
A Bayesian Approach to Robust Inverse Reinforcement Learning
Ran Wei, Siliang Zeng, Chenliang Li, Alfredo Garcia, Anthony D McDonald, Mingyi Hong; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2304-2322
ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation
Zhou Xian, Nikolaos Gkanatsios, Theophile Gervet, Tsung-Wei Ke, Katerina Fragkiadaki; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2323-2339
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors
Gaurav Datta, Ryan Hoque, Anrui Gu, Eugen Solowjow, Ken Goldberg; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2340-2356
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving
Linrui Zhang, Zhenghao Peng, Quanyi Li, Bolei Zhou; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2357-2372
Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control
Songyuan Zhang, Kunal Garg, Chuchu Fan; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2373-2392
STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience
Haresh Karnan, Elvin Yang, Daniel Farkash, Garrett Warnell, Joydeep Biswas, Peter Stone; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2393-2413
Towards General Single-Utensil Food Acquisition with Human-Informed Actions
Ethan Kroll Gordon, Amal Nanavati, Ramya Challa, Bernie Hao Zhu, Taylor Annette Kessler Faulkner, Siddhartha Srinivasa; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2414-2428
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction
Jingyi Yu, Zizhao Zhang, Shengfu Xia, Jizhang Sang; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2429-2443
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization
Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2444-2464
TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning
Weiwei Liu, Wei Jing, lingping Gao, Ke Guo, Gang Xu, Yong Liu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2465-2477
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models
Tyler Westenbroek, Jacob Levy, David Fridovich-Keil; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2478-2497
Large Language Models as General Pattern Machines
Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2498-2518
One-shot Imitation Learning via Interaction Warping
Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2519-2536
Learning to See Physical Properties with Active Sensing Motor Policies
Gabriel B. Margolis, Xiang Fu, Yandong Ji, Pulkit Agrawal; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2537-2548
General In-hand Object Rotation with Vision and Touch
Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2549-2564
Imitating Task and Motion Planning with Visuomotor Transformers
Murtaza Dalal, Ajay Mandlekar, Caelan Reed Garrett, Ankur Handa, Ruslan Salakhutdinov, Dieter Fox; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2565-2593
Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks
Clemens Schwarke, Victor Klemm, Matthijs van der Boon, Marko Bjelonic, Marco Hutter; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2594-2610
Towards Scalable Coverage-Based Testing of Autonomous Vehicles
James Tu, Simon Suo, Chris Zhang, Kelvin Wong, Raquel Urtasun; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2611-2623
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining
Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2624-2641
Learning Lyapunov-Stable Polynomial Dynamical Systems Through Imitation
Amin Abyaneh, Hsiu-Chin Lin; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2642-2662
MUTEX: Learning Unified Policies from Multimodal Task Specifications
Rutav Shah, Roberto Martín-Martín, Yuke Zhu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2663-2682
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning
Dhruv Shah, Michael Robert Equi, Błażej Osiński, Fei Xia, Brian Ichter, Sergey Levine; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2683-2699
A Data-efficient Neural ODE Framework for Optimal Control of Soft Manipulators
Mohammadreza Kasaei, Keyhan Kouhkiloui Babarahmati, Zhibin Li, Mohsen Khadem; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2700-2713
Language Conditioned Traffic Generation
Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Kraehenbuehl; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2714-2752
CALAMARI: Contact-Aware and Language conditioned spatial Action MApping for contact-RIch manipulation
Youngsun Wi, Mark Van der Merwe, Pete Florence, Andy Zeng, Nima Fazeli; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2753-2771
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities
Pierce Howell, Max Rudolph, Reza Joseph Torbati, Kevin Fu, Harish Ravichandar; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2772-2790
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller
Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2791-2806
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
Sushant Veer, Apoorva Sharma, Marco Pavone; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2807-2820
Neural Field Dynamics Model for Granular Object Piles Manipulation
Shangjie Xue, Shuo Cheng, Pujith Kachana, Danfei Xu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2821-2837
AR2-D2: Training a Robot Without a Robot
Jiafei Duan, Yi Ru Wang, Mohit Shridhar, Dieter Fox, Ranjay Krishna; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2838-2848
Affordance-Driven Next-Best-View Planning for Robotic Grasping
Xuechao Zhang, Dong Wang, Sun Han, Weichuang Li, Bin Zhao, Zhigang Wang, Xiaoming Duan, Chongrong Fang, Xuelong Li, Jianping He; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2849-2862
PairwiseNet: Pairwise Collision Distance Learning for High-dof Robot Systems
Jihwan Kim, Frank C. Park; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2863-2877
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
H.J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2878-2904
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models
Utkarsh Aashu Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2905-2925
Online Learning for Obstacle Avoidance
David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2926-2954
Polybot: Training One Policy Across Robots While Embracing Variability
Jonathan Heewon Yang, Dorsa Sadigh, Chelsea Finn; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2955-2974
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning
Kevin Zakka, Philipp Wu, Laura Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2975-2994
Revisiting Depth-guided Methods for Monocular 3D Object Detection by Hierarchical Balanced Depth
Yi-Rong Chen, Ching-Yu Tseng, Yi-Syuan Liou, Tsung-Han Wu, Winston H. Hsu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:2995-3009
Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees
Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Lorenzo Rosasco, Carme Torras; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3010-3029
Human-in-the-Loop Task and Motion Planning for Imitation Learning
Ajay Mandlekar, Caelan Reed Garrett, Danfei Xu, Dieter Fox; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3030-3060
Gesture-Informed Robot Assistance via Foundation Models
Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3061-3082
TactileVAD: Geometric Aliasing-Aware Dynamics for High-Resolution Tactile Control
Miquel Oller, Dmitry Berenson, Nima Fazeli; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3083-3099
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing
Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3100-3111
Energy-based Potential Games for Joint Motion Forecasting and Control
Christopher Diehl, Tobias Klosek, Martin Krueger, Nils Murzyn, Timo Osterburg, Torsten Bertram; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3112-3141
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play
Irmak Guzey, Ben Evans, Soumith Chintala, Lerrel Pinto; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3142-3166
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation
ZiZhang Wu, Zhuozheng Li, Zhi-Gang Fan, Yunzhe Wu, Xiaoquan Wang, Rui Tang, Jian Pu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3167-3179
Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning
Manav Kulshrestha, Ahmed H. Qureshi; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3180-3193
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment
Vitalis Vosylius, Edward Johns; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3194-3213
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning
Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Günnemann, Rudolph Triebel; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3214-3241
Compositional Diffusion-Based Continuous Constraint Solvers
Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3242-3265
Precise Robotic Needle-Threading with Tactile Perception and Reinforcement Learning
Zhenjun Yu, Wenqiang Xu, Siqiong Yao, Jieji Ren, Tutian Tang, Yutong Li, Guoying Gu, Cewu Lu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3266-3276
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States
Zidan Wang, Takeru Oba, Takuma Yoneda, Rui Shen, Matthew Walter, Bradly C. Stadie; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3277-3291
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning
Archit Sharma, Ahmed M. Ahmed, Rehaan Ahmad, Chelsea Finn; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3292-3308
Equivariant Reinforcement Learning under Partial Observability
Hai Huu Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3309-3320
UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding
Han Xue, Yutong Li, Wenqiang Xu, Huanyu Li, Dongzhe Zheng, Cewu Lu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3321-3341
A Universal Semantic-Geometric Representation for Robotic Manipulation
Tong Zhang, Yingdong Hu, Hanchen Cui, Hang Zhao, Yang Gao; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3342-3363
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds
Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3364-3383
Language-Conditioned Path Planning
Amber Xie, Youngwoon Lee, Pieter Abbeel, Stephen James; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3384-3396
Open-World Object Manipulation using Pre-Trained Vision-Language Models
Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Sean Kirmani, Brianna Zitkovich, Fei Xia, Chelsea Finn, Karol Hausman; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3397-3417
Learning Generalizable Manipulation Policies with Object-Centric 3D Representations
Yifeng Zhu, Zhenyu Jiang, Peter Stone, Yuke Zhu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3418-3433
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer
Allen Z. Ren, Hongkai Dai, Benjamin Burchfiel, Anirudha Majumdar; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3434-3452
Dexterous Functional Grasping
Ananye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3453-3467
REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction
Zeyi Liu, Arpit Bahety, Shuran Song; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3468-3484
Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies
Tianyu Li, Nadia Figueroa; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3485-3517
Push Past Green: Learning to Look Behind Plant Foliage by Moving It
Xiaoyu Zhang, Saurabh Gupta; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3518-3535
XSkill: Cross Embodiment Skill Discovery
Mengda Xu, Zhenjia Xu, Cheng Chi, Manuela Veloso, Shuran Song; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3536-3555
SayTap: Language to Quadrupedal Locomotion
Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3556-3570
SLAP: Spatial-Language Attention Policies
Priyam Parashar, Vidhi Jain, Xiaohan Zhang, Jay Vakil, Sam Powers, Yonatan Bisk, Chris Paxton; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3571-3596
Learning Human Contribution Preferences in Collaborative Human-Robot Tasks
Michelle D Zhao, Reid Simmons, Henny Admoni; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3597-3618
M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place
Wentao Yuan, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3619-3630
Learning to Drive Anywhere
Ruizhao Zhu, Peng Huang, Eshed Ohn-Bar, Venkatesh Saligrama; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3631-3653
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3654-3671
Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference
Jana Pavlasek, Stanley Robert Lewis, Balakumar Sundaralingam, Fabio Ramos, Tucker Hermans; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3672-3686
Online Model Adaptation with Feedforward Compensation
Abulikemu Abuduweili, Changliu Liu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3687-3709
Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering
Yasasa Abeysirigoonawardena, Kevin Xie, Chuhan Chen, Salar Hosseini Khorasgani, Ruiting Chen, Ruiqi Wang, Florian Shkurti; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3710-3731
STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots
Yi Li, Muru Zhang, Markus Grotz, Kaichun Mo, Dieter Fox; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3732-3748
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking
Qing LIAN, Tai Wang, Dahua Lin, Jiangmiao Pang; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3749-3765
Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition
Huy Ha, Pete Florence, Shuran Song; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3766-3777
Marginalized Importance Sampling for Off-Environment Policy Evaluation
Pulkit Katdare, Nan Jiang, Katherine Rose Driggs-Campbell; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3778-3788
Policy Stitching: Learning Transferable Robot Policies
Pingcheng Jian, Easop Lee, Zachary Bell, Michael M. Zavlanos, Boyuan Chen; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3789-3808
Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation
Yuanpei Chen, Chen Wang, Li Fei-Fei, Karen Liu; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3809-3829
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
Haimin Hu, Zixu Zhang, Kensuke Nakamura, Andrea Bajcsy, Jaime Fernández Fisac; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3830-3850
Improving Behavioural Cloning with Positive Unlabeled Learning
Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O’Connor, Francisco Roldan Sanchez, Nico Gürtler, Felix Widmaier, Stephen J. Redmond; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3851-3869
$α$-MDF: An Attention-based Multimodal Differentiable Filter for Robot State Estimation
Xiao Liu, Yifan Zhou, Shuhei Ikemoto, Heni Ben Amor; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3870-3893
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
Vivek Myers, Andre Wang He, Kuan Fang, Homer Rich Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca Dragan, Sergey Levine; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3894-3908
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
Yevgen Chebotar, Quan Vuong, Karol Hausman, Fei Xia, Yao Lu, Alex Irpan, Aviral Kumar, Tianhe Yu, Alexander Herzog, Karl Pertsch, Keerthana Gopalakrishnan, Julian Ibarz, Ofir Nachum, Sumedh Anand Sontakke, Grecia Salazar, Huong T. Tran, Jodilyn Peralta, Clayton Tan, Deeksha Manjunath, Jaspiar Singh, Brianna Zitkovich, Tomas Jackson, Kanishka Rao, Chelsea Finn, Sergey Levine; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3909-3928
Preference learning for guiding the tree search in continuous POMDPs
Jiyong Ahn, Sanghyeon Son, Dongryung Lee, Jisu Han, Dongwon Son, Beomjoon Kim; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3929-3948
Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
Theophile Gervet, Zhou Xian, Nikolaos Gkanatsios, Katerina Fragkiadaki; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3949-3965
Simultaneous Learning of Contact and Continuous Dynamics
Bibit Bianchini, Mathew Halm, Michael Posa; Proceedings of The 7th Conference on Robot Learning, PMLR 229:3966-3978
此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。