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ORCID7th CoRL 2023: Atlanta, GA, USA
- Jie Tan, Marc Toussaint, Kourosh Darvish:
Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA. Proceedings of Machine Learning Research 229, PMLR 2023 - Robert Gieselmann, Florian T. Pokorny:
Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning. 1-22 - Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian D. Reid, Niko Sünderhauf:
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning. 23-72 - Ziwen Zhuang, Zipeng Fu, Jianren Wang, Christopher G. Atkeson, Sören Schwertfeger, Chelsea Finn, Hang Zhao:
Robot Parkour Learning. 73-92 - Xubo Lyu, Hanyang Hu, Seth Siriya, Ye Pu, Mo Chen:
Task-Oriented Koopman-Based Control with Contrastive Encoder. 93-105 - Yunhai Han, Mandy Xie, Ye Zhao, Harish Ravichandar:
On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills. 106-126 - Yulong Li, Andy Zeng, Shuran Song:
Rearrangement Planning for General Part Assembly. 127-143 - Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray:
Language-Guided Traffic Simulation via Scene-Level Diffusion. 144-177 - Adam Rashid, Satvik Sharma, Chung Min Kim, Justin Kerr, Lawrence Yunliang Chen, Angjoo Kanazawa, Ken Goldberg:
Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping. 178-200 - Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar:
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. 201-221 - Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao:
Continual Vision-based Reinforcement Learning with Group Symmetries. 222-240 - Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held:
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. 241-265 - Zixuan Wu, Sean Charles Ye, Byeolyi Han, Matthew C. Gombolay:
Hijacking Robot Teams Through Adversarial Communication. 266-283 - Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso
, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang:
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields. 284-301 - Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim:
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. 302-325 - Kevin Huang, Rwik Rana, Alexander Spitzer, Guanya Shi, Byron Boots:
DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control. 326-340 - Vainavi Viswanath, Kaushik Shivakumar, Mallika Parulekar, Jainil Ajmera, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg:
HANDLOOM: Learned Tracing of One-Dimensional Objects for Inspection and Manipulation. 341-357 - Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell:
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. 358-373 - 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:
Language to Rewards for Robotic Skill Synthesis. 374-404 - William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola:
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation. 405-424 - Yunhai Feng, Nicklas Hansen, Ziyan Xiong, Chandramouli Rajagopalan, Xiaolong Wang:
Finetuning Offline World Models in the Real World. 425-445 - Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit S. Bedi, Dinesh Manocha:
Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. 446-477 - Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, Xueqian Wang:
PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training. 478-498 - Xinghao Zhu, JingHan Ke, Zhixuan Xu, Zhixin Sun, Bizhe Bai, Jun Lv, Qingtao Liu, Yuwei Zeng, Qi Ye, Cewu Lu, Masayoshi Tomizuka, Lin Shao:
Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering. 499-512 - Varun Bhatt, Heramb Nemlekar, Matthew Christopher Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis:
Surrogate Assisted Generation of Human-Robot Interaction Scenarios. 513-539 - Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei:
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models. 540-562 - Jennifer Grannen, Yilin Wu, Brandon Vu, Dorsa Sadigh:
Stabilize to Act: Learning to Coordinate for Bimanual Manipulation. 563-576 - Franck Djeumou, Cyrus Neary, Ufuk Topcu:
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations. 577-601 - Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus:
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation. 602-641 - Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu:
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools. 642-660 - 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:
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. 661-682 - Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik:
Robot Learning with Sensorimotor Pre-training. 683-693 - Ankit Goyal, Jie Xu, Yijie Guo, Valts Blukis, Yu-Wei Chao, Dieter Fox:
RVT: Robotic View Transformer for 3D Object Manipulation. 694-710 - Dhruv Shah, Ajay Sridhar, Nitish Dashora, Kyle Stachowicz, Kevin Black, Noriaki Hirose, Sergey Levine:
ViNT: A Foundation Model for Visual Navigation. 711-733 - Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao:
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. 734-760 - Jingyun Ning, Madhur Behl:
Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing. 761-773 - Max Balsells, Marcel Torne Villasevil, Zihan Wang, Samedh Desai, Pulkit Agrawal, Abhishek Gupta:
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback. 774-799 - Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun:
Learning Realistic Traffic Agents in Closed-loop. 800-821 - Seungyeon Kim, Young Hun Kim, Yonghyeon Lee, Frank C. Park:
Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves. 822-848 - Yen-Ling Tai, Yu Chien Chiu, Yu-Wei Chao, Yi-Ting Chen:
SCONE: A Food Scooping Robot Learning Framework with Active Perception. 849-865 - Orr Krupnik, Elisei Shafer, Tom Jurgenson, Aviv Tamar:
Fine-Tuning Generative Models as an Inference Method for Robotic Tasks. 866-886 - Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu:
Learning to Design and Use Tools for Robotic Manipulation. 887-905 - Jinxin Liu, Lipeng Zu, Li He, Donglin Wang:
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning. 906-927 - Aditya Kannan, Kenneth Shaw, Shikhar Bahl, Pragna Mannam, Deepak Pathak:
DEFT: Dexterous Fine-Tuning for Hand Policies. 928-942 - Pietro Vitiello, Kamil Dreczkowski, Edward Johns:
One-Shot Imitation Learning: A Pose Estimation Perspective. 943-970 - Satvik Sharma, Huang Huang, Kaushik Shivakumar, Lawrence Yunliang Chen, Ryan Hoque, Brian Ichter, Ken Goldberg:
Semantic Mechanical Search with Large Vision and Language Models. 971-1005 - Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh, Jeannette Bohg:
KITE: Keypoint-Conditioned Policies for Semantic Manipulation. 1006-1021 - Binyu Zhao, Wei Zhang, Zhaonian Zou:
BM2CP: Efficient Collaborative Perception with LiDAR-Camera Modalities. 1022-1035 - Abitha Thankaraj, Lerrel Pinto:
That Sounds Right: Auditory Self-Supervision for Dynamic Robot Manipulation. 1036-1049 - Kushal Kedia, Prithwish Dan, Atiksh Bhardwaj, Sanjiban Choudhury:
ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting. 1050-1067 - Maithili Patel, Aswin Gururaj Prakash, Sonia Chernova:
Predicting Routine Object Usage for Proactive Robot Assistance. 1068-1083 - Jason Xinyu Liu, Ziyi Yang, Ifrah Idrees, Sam Liang, Benjamin Schornstein, Stefanie Tellex, Ankit Shah:
Grounding Complex Natural Language Commands for Temporal Tasks in Unseen Environments. 1084-1110 - Esteve Valls Mascaro, Daniel Sliwowski, Dongheui Lee:
HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs. 1111-1130 - Rianna M. Jitosho, Tyler Ga Wei Lum, Allison M. Okamura, C. Karen Liu:
Reinforcement Learning Enables Real-Time Planning and Control of Agile Maneuvers for Soft Robot Arms. 1131-1153 - Shengjie Wang, Lan Fengb, Xiang Zheng, Yuxue Cao, Oluwatosin OluwaPelumi Oseni, Haotian Xu, Tao Zhang, Yang Gao:
A Policy Optimization Method Towards Optimal-time Stability. 1154-1182 - Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain, Abhinav Gupta:
An Unbiased Look at Datasets for Visuo-Motor Pre-Training. 1183-1198 - Byeongho Lee, Yonghyeon Lee, Seungyeon Kim, Minjun Son, Frank C. Park:
Equivariant Motion Manifold Primitives. 1199-1221 - Harry Zhang, Ben Eisner, David Held:
FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection. 1222-1241 - Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson:
Geometry Matching for Multi-Embodiment Grasping. 1242-1256 - Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson:
Contrastive Value Learning: Implicit Models for Simple Offline RL. 1257-1267 - Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta:
Parting with Misconceptions about Learning-based Vehicle Motion Planning. 1268-1281 - Priya Sundaresan, Jiajun Wu, Dorsa Sadigh:
Learning Sequential Acquisition Policies for Robot-Assisted Feeding. 1282-1299 - Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu:
Composable Part-Based Manipulation. 1300-1315 - Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun:
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. 1316-1334 - Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas J. Guibas:
FindThis: Language-Driven Object Disambiguation in Indoor Environments. 1335-1347 - Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine:
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning. 1348-1361 - Lanke Frank Tarimo Fu, Maurice F. Fallon:
Batch Differentiable Pose Refinement for In-The-Wild Camera/LiDAR Extrinsic Calibration. 1362-1377 - Oguzhan Akcin, Orhan Unuvar, Onat Ure, Sandeep P. Chinchali:
Fleet Active Learning: A Submodular Maximization Approach. 1378-1399 - Yuan Zhang, Jianhong Wang, Joschka Boedecker:
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization. 1400-1424 - Jingsong Liang, Zhichen Wang, Yuhong Cao, Jimmy Chiun, Mengqi Zhang, Guillaume Adrien Sartoretti:
Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area. 1425-1436 - Sachit Kuhar, Shuo Cheng, Shivang Chopra, Matthew Bronars, Danfei Xu:
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning. 1437-1449 - Georgios Tziafas, Yucheng Xu, Arushi Goel, Mohammadreza Mohades Kasaei, Zhibin Li, Hamidreza Kasaei:
Language-guided Robot Grasping: CLIP-based Referring Grasp Synthesis in Clutter. 1450-1466 - Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Reusable Manipulation Strategies. 1467-1483 - Katherine Metcalf, Miguel Sarabia, Natalie Mackraz, Barry-John Theobald:
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards. 1484-1532 - Leon Kim, Yunshuang Li, Michael Posa, Dinesh Jayaraman:
Im2Contact: Vision-Based Contact Localization Without Touch or Force Sensing. 1533-1546 - Sravan Jayanthi, Letian Chen, Nadya Balabanska, Van Duong, Erik Scarlatescu, Ezra Ameperosa, Zulfiqar Haider Zaidi, Daniel Martin, Taylor Keith Del Matto, Masahiro Ono, Matthew C. Gombolay:
DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation. 1547-1571 - Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann:
SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects. 1572-1595 - Matan Sudry, Tom Jurgenson, Aviv Tamar, Erez Karpas:
Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model. 1596-1609 - Shiyang Lu, Haonan Chang, Eric Pu Jing, Abdeslam Boularias, Kostas E. Bekris:
OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data. 1610-1620 - Xiang Zhang, Changhao Wang, Lingfeng Sun, Zheng Wu, Xinghao Zhu, Masayoshi Tomizuka:
Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning. 1621-1639 - Harel Biggie, Ajay Narasimha Mopidevi, Dusty Woods, Christoffer R. Heckman:
Tell Me Where to Go: A Composable Framework for Context-Aware Embodied Robot Navigation. 1640-1666 - Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus:
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. 1667-1685 - Zhanteng Xie, Philip M. Dames:
Stochastic Occupancy Grid Map Prediction in Dynamic Scenes. 1686-1705 - Charles Dawson, Chuchu Fan:
A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling. 1706-1722 - 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:
BridgeData V2: A Dataset for Robot Learning at Scale. 1723-1736 - 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:
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities. 1737-1760 - Shizhe Chen, Ricardo Garcia, Cordelia Schmid, Ivan Laptev:
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation. 1761-1781 - Nikhil Angad Bakshi, Jeff Schneider:
Stealthy Terrain-Aware Multi-Agent Active Search. 1782-1796 - Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Rose Driggs-Campbell:
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots. 1797-1819 - Ajay Mandlekar, Soroush Nasiriany, Bowen Wen, Iretiayo Akinola, Yashraj S. Narang, Linxi Fan, Yuke Zhu, Dieter Fox:
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations. 1820-1864 - Jerry Zhi-Yang He, Daniel S. Brown, Zackory Erickson, Anca D. Dragan:
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier. 1865-1886 - Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang:
Dynamic Handover: Throw and Catch with Bimanual Hands. 1887-1902 - Liangtao Zheng, Yicheng Liu, Yue Wang, Hang Zhao:
Cross-Dataset Sensor Alignment: Making Visual 3D Object Detector Generalizable. 1903-1929 - Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine:
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation. 1930-1949 - Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Pu Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas E. Bekris, Abdeslam Boularias:
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs. 1950-1974 - Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile 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:
HomeRobot: Open-Vocabulary Mobile Manipulation. 1975-2011 - Lili Chen, Shikhar Bahl, Deepak Pathak:
PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play. 2012-2029 - Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez Garcia, Pulkit Agrawal, Dieter Fox:
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement. 2030-2069 - Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Efficient Abstract Planning Models that Choose What to Predict. 2070-2095 - Boling Yang, Soofiyan Atar, Markus Grotz, Byron Boots, Joshua R. Smith:
DYNAMO-GRASP: DYNAMics-aware Optimization for GRASP Point Detection in Suction Grippers. 2096-2112 - Suneel Belkhale, Yuchen Cui, Dorsa Sadigh:
HYDRA: Hybrid Robot Actions for Imitation Learning. 2113-2133 - Jorge Mendez-Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Embodied Lifelong Learning for Task and Motion Planning. 2134-2150 - Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun:
4D-Former: Multimodal 4D Panoptic Segmentation. 2151-2164 - 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 T. 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:
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. 2165-2183 - David DeFazio, Eisuke Hirota, Shiqi Zhang:
Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control. 2184-2194 - Lucy Xiaoyang Shi, Archit Sharma, Tony Z. Zhao, Chelsea Finn:
Waypoint-Based Imitation Learning for Robotic Manipulation. 2195-2209 - Saumya Saxena, Mohit Sharma, Oliver Kroemer:
Multi-Resolution Sensing for Real-Time Control with Vision-Language Models. 2210-2228 - Tabitha Edith Lee, Shivam Vats, Siddharth Girdhar, Oliver Kroemer:
SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation. 2229-2256 - Gautam Salhotra, I-Chun Arthur Liu, Gaurav S. Sukhatme:
Learning Robot Manipulation from Cross-Morphology Demonstration. 2257-2277 - Eric Rosen, Steven James, Sergio Orozco, Vedant Gupta, Max Merlin, Stefanie Tellex, George Konidaris:
Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills. 2278-2287 - Joanne Taery Kim, Wenhao Yu, Yash Kothari, Bruce Walker, Jie Tan, Greg Turk, Sehoon Ha:
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. 2288-2303 - Ran Wei, Siliang Zeng, Chenliang Li, Alfredo García, Anthony D. McDonald, Mingyi Hong:
A Bayesian Approach to Robust Inverse Reinforcement Learning. 2304-2322 - Zhou Xian, Nikolaos Gkanatsios, Théophile Gervet, Tsung-Wei Ke, Katerina Fragkiadaki:
ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation. 2323-2339 - Gaurav Datta, Ryan Hoque, Anrui Gu, Eugen Solowjow, Ken Goldberg:
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors. 2340-2356 - Linrui Zhang, Zhenghao Peng, Quanyi Li, Bolei Zhou:
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving. 2357-2372 - Songyuan Zhang, Kunal Garg, Chuchu Fan:
Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control. 2373-2392 - Haresh Karnan, Elvin Yang, Daniel Farkash, Garrett Warnell, Joydeep Biswas, Peter Stone:
STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience. 2393-2413 - Ethan Kroll Gordon, Amal Nanavati, Ramya Challa, Bernie Hao Zhu, Taylor Annette Kessler Faulkner, Siddhartha S. Srinivasa:
Towards General Single-Utensil Food Acquisition with Human-Informed Actions. 2414-2428 - Jingyi Yu, Zizhao Zhang, Shengfu Xia, Jizhang Sang:
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction. 2429-2443 - Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros:
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization. 2444-2464 - Weiwei Liu, Wei Jing, Lingping Gao, Ke Guo, Gang Xu, Yong Liu:
TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning. 2465-2477 - Tyler Westenbroek, Jacob Levy, David Fridovich-Keil:
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models. 2478-2497 - Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng:
Large Language Models as General Pattern Machines. 2498-2518 - 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:
One-shot Imitation Learning via Interaction Warping. 2519-2536 - Gabriel B. Margolis, Xiang Fu, Yandong Ji, Pulkit Agrawal:
Learning to See Physical Properties with Active Sensing Motor Policies. 2537-2548 - Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik:
General In-hand Object Rotation with Vision and Touch. 2549-2564 - Murtaza Dalal, Ajay Mandlekar, Caelan Reed Garrett, Ankur Handa, Ruslan Salakhutdinov, Dieter Fox:
Imitating Task and Motion Planning with Visuomotor Transformers. 2565-2593 - Clemens Schwarke, Victor Klemm, Matthijs van der Boon, Marko Bjelonic, Marco Hutter:
Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks. 2594-2610 - James Tu, Simon Suo, Chris Zhang, Kelvin Wong, Raquel Urtasun:
Towards Scalable Coverage-Based Testing of Autonomous Vehicles. 2611-2623 - Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov:
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining. 2624-2641 - Amin Abyaneh, Hsiu-Chin Lin:
Learning Lyapunov-Stable Polynomial Dynamical Systems Through Imitation. 2642-2662 - Rutav Shah, Roberto Martín-Martín, Yuke Zhu:
MUTEX: Learning Unified Policies from Multimodal Task Specifications. 2663-2682 - Dhruv Shah, Michael Robert Equi, Blazej Osinski, Fei Xia, Brian Ichter, Sergey Levine:
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning. 2683-2699 - Mohammadreza Mohades Kasaei, Keyhan Kouhkiloui Babarahmati, Zhibin Li, Mohsen Khadem:
A Data-efficient Neural ODE Framework for Optimal Control of Soft Manipulators. 2700-2713 - Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krähenbühl:
Language Conditioned Traffic Generation. 2714-2752 - Youngsun Wi, Mark Van der Merwe, Pete Florence, Andy Zeng, Nima Fazeli:
CALAMARI: Contact-Aware and Language conditioned spatial Action MApping for contact-RIch manipulation. 2753-2771 - Pierce Howell, Max Rudolph, Reza Joseph Torbati, Kevin Fu, Harish Ravichandar:
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities. 2772-2790 - Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller. 2791-2806 - Sushant Veer, Apoorva Sharma, Marco Pavone:
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. 2807-2820 - Shangjie Xue, Shuo Cheng, Pujith Kachana, Danfei Xu:
Neural Field Dynamics Model for Granular Object Piles Manipulation. 2821-2837 - Jiafei Duan, Yi Ru Wang, Mohit Shridhar, Dieter Fox, Ranjay Krishna:
AR2-D2: Training a Robot Without a Robot. 2838-2848 - Xuechao Zhang, Dong Wang, Sun Han, Weichuang Li, Bin Zhao, Zhigang Wang, Xiaoming Duan, Chongrong Fang, Xuelong Li, Jianping He:
Affordance-Driven Next-Best-View Planning for Robotic Grasping. 2849-2862 - Jihwan Kim, Frank Chongwoo Park:
PairwiseNet: Pairwise Collision Distance Learning for High-dof Robot Systems. 2863-2877 - H. J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake:
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching. 2878-2904 - Utkarsh Aashu Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu:
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models. 2905-2925 - David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar:
Online Learning for Obstacle Avoidance. 2926-2954 - Jonathan Heewon Yang, Dorsa Sadigh, Chelsea Finn:
Polybot: Training One Policy Across Robots While Embracing Variability. 2955-2974 - Kevin Zakka, Philipp Wu, Laura M. Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel:
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning. 2975-2994 - Yi-Rong Chen, Ching-Yu Tseng, Yi-Syuan Liou, Tsung-Han Wu, Winston H. Hsu:
Revisiting Depth-guided Methods for Monocular 3D Object Detection by Hierarchical Balanced Depth. 2995-3009 - Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Lorenzo Rosasco, Carme Torras:
Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees. 3010-3029 - Ajay Mandlekar, Caelan Reed Garrett, Danfei Xu, Dieter Fox:
Human-in-the-Loop Task and Motion Planning for Imitation Learning. 3030-3060 - Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh:
Gesture-Informed Robot Assistance via Foundation Models. 3061-3082 - Miquel Oller, Dmitry Berenson, Nima Fazeli:
TactileVAD: Geometric Aliasing-Aware Dynamics for High-Resolution Tactile Control. 3083-3099 - Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine:
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. 3100-3111 - Christopher Diehl, Tobias Klosek, Martin Krüger, Nils Murzyn, Timo Osterburg, Torsten Bertram:
Energy-based Potential Games for Joint Motion Forecasting and Control. 3112-3141 - Irmak Güzey, Ben Evans, Soumith Chintala, Lerrel Pinto:
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play. 3142-3166 - Zizhang Wu, Zhuozheng Li, Zhi-Gang Fan, Yunzhe Wu, Xiaoquan Wang, Rui Tang, Jian Pu:
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation. 3167-3179 - Manav Kulshrestha, Ahmed H. Qureshi:
Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning. 3180-3193 - Vitalis Vosylius, Edward Johns:
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment. 3194-3213 - Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Günnemann, Rudolph Triebel:
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning. 3214-3241 - Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Compositional Diffusion-Based Continuous Constraint Solvers. 3242-3265 - Zhenjun Yu, Wenqiang Xu, Siqiong Yao, Jieji Ren, Tutian Tang, Yutong Li, Guoying Gu, Cewu Lu:
Precise Robotic Needle-Threading with Tactile Perception and Reinforcement Learning. 3266-3276 - Zidan Wang, Takeru Oba, Takuma Yoneda, Rui Shen, Matthew R. Walter, Bradly C. Stadie:
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States. 3277-3291 - Archit Sharma, Ahmed M. Ahmed, Rehaan Ahmad, Chelsea Finn:
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning. 3292-3308 - Hai Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato:
Equivariant Reinforcement Learning under Partial Observability. 3309-3320 - Han Xue, Yutong Li, Wenqiang Xu, Huanyu Li, Dongzhe Zheng, Cewu Lu:
UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding. 3321-3341 - Tong Zhang, Yingdong Hu, Hanchen Cui, Hang Zhao, Yang Gao:
A Universal Semantic-Geometric Representation for Robotic Manipulation. 3342-3363 - Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun:
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. 3364-3383 - Amber Xie, Youngwoon Lee, Pieter Abbeel, Stephen James:
Language-Conditioned Path Planning. 3384-3396 - 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:
Open-World Object Manipulation using Pre-Trained Vision-Language Models. 3397-3417 - Yifeng Zhu, Zhenyu Jiang, Peter Stone, Yuke Zhu:
Learning Generalizable Manipulation Policies with Object-Centric 3D Representations. 3418-3433 - Allen Z. Ren, Hongkai Dai, Benjamin Burchfiel, Anirudha Majumdar:
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer. 3434-3452 - Ananye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak:
Dexterous Functional Grasping. 3453-3467 - Zeyi Liu, Arpit Bahety, Shuran Song:
REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction. 3468-3484 - Tianyu Li, Nadia Figueroa:
Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies. 3485-3517 - Xiaoyu Zhang, Saurabh Gupta:
Push Past Green: Learning to Look Behind Plant Foliage by Moving It. 3518-3535 - Mengda Xu, Zhenjia Xu, Cheng Chi, Manuela Veloso, Shuran Song:
XSkill: Cross Embodiment Skill Discovery. 3536-3555 - Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada:
SayTap: Language to Quadrupedal Locomotion. 3556-3570 - Priyam Parashar, Vidhi Jain, Xiaohan Zhang, Jay Vakil, Sam Powers, Yonatan Bisk, Chris Paxton:
SLAP: Spatial-Language Attention Policies. 3571-3596 - Michelle D. Zhao, Reid G. Simmons, Henny Admoni:
Learning Human Contribution Preferences in Collaborative Human-Robot Tasks. 3597-3618 - Wentao Yuan, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox:
M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place. 3619-3630 - Ruizhao Zhu, Peng Huang, Eshed Ohn-Bar, Venkatesh Saligrama:
Learning to Drive Anywhere. 3631-3653 - Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn:
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning. 3654-3671 - Jana Pavlasek, Stanley Robert Lewis, Balakumar Sundaralingam, Fabio Ramos, Tucker Hermans:
Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference. 3672-3686 - Abulikemu Abuduweili, Changliu Liu:
Online Model Adaptation with Feedforward Compensation. 3687-3709 - Yasasa Abeysirigoonawardena, Kevin Xie, Chuhan Chen, Salar Hosseini Khorasgani, Ruiting Chen, Ruiqi Wang, Florian Shkurti:
Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering. 3710-3731 - Yi Li, Muru Zhang, Markus Grotz, Kaichun Mo, Dieter Fox:
STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots. 3732-3748 - Qing Lian, Tai Wang, Dahua Lin, Jiangmiao Pang:
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking. 3749-3765 - Huy Ha, Pete Florence, Shuran Song:
Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition. 3766-3777 - Pulkit Katdare, Nan Jiang, Katherine Rose Driggs-Campbell:
Marginalized Importance Sampling for Off-Environment Policy Evaluation. 3778-3788 - Pingcheng Jian, Easop Lee, Zachary I. Bell, Michael M. Zavlanos, Boyuan Chen:
Policy Stitching: Learning Transferable Robot Policies. 3789-3808 - Yuanpei Chen, Chen Wang, Li Fei-Fei, C. Karen Liu:
Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation. 3809-3829 - Haimin Hu, Zixu Zhang, Kensuke Nakamura, Andrea Bajcsy, Jaime Fernández Fisac:
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy. 3830-3850 - Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Nico Gürtler, Felix Widmaier, Stephen J. Redmond:
Improving Behavioural Cloning with Positive Unlabeled Learning. 3851-3869 - Xiao Liu, Yifan Zhou, Shuhei Ikemoto, Heni Ben Amor:
α-MDF: An Attention-based Multimodal Differentiable Filter for Robot State Estimation. 3870-3893 - Vivek Myers, Andre Wang He, Kuan Fang, Homer Rich Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine:
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. 3894-3908 - 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:
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions. 3909-3928 - Jiyong Ahn, Sanghyeon Son, Dongryung Lee, Jisu Han, Dongwon Son, Beomjoon Kim:
Preference learning for guiding the tree search in continuous POMDPs. 3929-3948 - Théophile Gervet, Zhou Xian, Nikolaos Gkanatsios, Katerina Fragkiadaki:
Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation. 3949-3965 - Bibit Bianchini, Mathew Halm, Michael Posa:
Simultaneous Learning of Contact and Continuous Dynamics. 3966-3978
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