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ORCID8th CoRL 2024: Munich, Germany
- Pulkit Agrawal, Oliver Kroemer, Wolfram Burgard:
Conference on Robot Learning, 6-9 November 2024, Munich, Germany. Proceedings of Machine Learning Research 270, PMLR 2024 - Jennifer Grannen, Siddharth Karamcheti, Suvir Mirchandani, Percy Liang, Dorsa Sadigh:
Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration. 1-24 - Hersh Sanghvi, Spencer Folk, Camillo Jose Taylor:
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models. 25-47 - Dian Wang, Stephen Hart, David Surovik, Tarik Kelestemur, Haojie Huang, Haibo Zhao, Mark Yeatman, Jiuguang Wang, Robin Walters, Robert Platt:
Equivariant Diffusion Policy. 48-69 - Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal:
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches. 70-96 - Noriaki Hirose, Dhruv Shah, Kyle Stachowicz, Ajay Sridhar, Sergey Levine:
SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation around People. 97-116 - Ruoshi Liu, Alper Canberk, Shuran Song, Carl Vondrick:
Differentiable Robot Rendering. 117-129 - Ji Woong Kim, Tony Z. Zhao, Samuel Schmidgall, Anton Deguet, Marin Kobilarov, Chelsea Finn, Axel Krieger:
Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks. 130-144 - Joey Hejna, Chethan Anand Bhateja, Yichen Jiang, Karl Pertsch, Dorsa Sadigh:
ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning. 145-164 - Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy H. Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil Sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin A. Riedmiller, Nicolas Heess:
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning. 165-184 - Weirui Ye, Yunsheng Zhang, Haoyang Weng, Xianfan Gu, Shengjie Wang, Tong Zhang, Mengchen Wang, Pieter Abbeel, Yang Gao:
Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own. 185-208 - Lawrence Yunliang Chen, Chenfeng Xu, Karthik Dharmarajan, Richard Cheng, Kurt Keutzer, Masayoshi Tomizuka, Quan Vuong, Ken Goldberg:
RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning. 209-233 - Minghuan Liu, Zixuan Chen, Xuxin Cheng, Yandong Ji, Ri-Zhao Qiu, Ruihan Yang, Xiaolong Wang:
Visual Whole-Body Control for Legged Loco-Manipulation. 234-257 - Yunlong Song, Sangbae Kim, Davide Scaramuzza:
Learning Quadruped Locomotion Using Differentiable Simulation. 258-271 - Yixuan Wang, Mingtong Zhang, Zhuoran Li, Tarik Kelestemur, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li:
D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement. 272-298 - Jinhan Li, Yifeng Zhu, Yuqi Xie, Zhenyu Jiang, Mingyo Seo, Georgios Pavlakos, Yuke Zhu:
OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation. 299-317 - Weikun Peng, Jun Lv, Yuwei Zeng, Haonan Chen, Siheng Zhao, Jichen Sun, Cewu Lu, Lin Shao:
TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach. 318-339 - Ruoxuan Feng, Di Hu, Wenke Ma, Xuelong Li:
Play to the Score: Stage-Guided Dynamic Multi-Sensory Fusion for Robotic Manipulation. 340-363 - Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao:
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments. 364-386 - Duy Phuong Nguyen, Kai-Chieh Hsu, Wenhao Yu, Jie Tan, Jaime Fernández Fisac:
Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination. 387-407 - Kuo-Hao Zeng, Zichen Zhang, Kiana Ehsani, Rose Hendrix, Jordi Salvador, Alvaro Herrasti, Ross B. Girshick, Aniruddha Kembhavi, Luca Weihs:
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators. 408-432 - William Liang, Sam Wang, Hung-Ju Wang, Osbert Bastani, Dinesh Jayaraman, Yecheng Jason Ma:
Environment Curriculum Generation via Large Language Models. 433-454 - Chong Zhang, Wenli Xiao, Tairan He, Guanya Shi:
WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts. 455-472 - Haoran He, Peilin Wu, Chenjia Bai, Hang Lai, Lingxiao Wang, Ling Pan, Xiaolin Hu, Weinan Zhang:
Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective. 473-495 - Ria Doshi, Homer Rich Walke, Oier Mees, Sudeep Dasari, Sergey Levine:
Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation. 496-512 - Jad Abou-Chakra, Krishan Rana, Feras Dayoub, Niko Sünderhauf:
Physically Embodied Gaussian Splatting: A Visually Learnt and Physically Grounded 3D Representation for Robotics. 513-530 - Jean-Pierre Sleiman, Mayank Mittal, Marco Hutter:
Guided Reinforcement Learning for Robust Multi-Contact Loco-Manipulation. 531-546 - Yuxuan Kuang, Junjie Ye, Haoran Geng, Jiageng Mao, Congyue Deng, Leonidas J. Guibas, He Wang, Yue Wang:
RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation. 547-565 - Keyu Chen, Yuheng Lei, Hao Cheng, Haoran Wu, Wenchao Sun, Sifa Zheng:
FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality. 566-586 - Justin Kerr, Chung Min Kim, Mingxuan Wu, Brent Yi, Qianqian Wang, Ken Goldberg, Angjoo Kanazawa:
Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction. 587-603 - Franck Djeumou, Thomas Lew, Nan Ding, Michael Thompson, Makoto Suminaka, Marcus Greiff, John Subosits:
One Model to Drift Them All: Physics-Informed Conditional Diffusion Model for Driving at the Limits. 604-630 - Jayadeep Jacob, Shizhe Cai, Paulo Vinicius Koerich Borges, Tirthankar Bandyopadhyay, Fabio Ramos:
Gentle Manipulation of Tree Branches: A Contact-Aware Policy Learning Approach. 631-648 - Yixiao Wang, Yifei Zhang, Mingxiao Huo, Thomas Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka:
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning. 649-665 - Noriaki Hirose, Catherine Glossop, Ajay Sridhar, Oier Mees, Sergey Levine:
LeLaN: Learning A Language-Conditioned Navigation Policy from In-the-Wild Video. 666-688 - Christopher Agia, Rohan Sinha, Jingyun Yang, Ziang Cao, Rika Antonova, Marco Pavone, Jeannette Bohg:
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress. 689-723 - Jinghuan Shang, Karl Schmeckpeper, Brandon B. May, Maria Vittoria Minniti, Tarik Kelestemur, David Watkins, Laura Herlant:
Theia: Distilling Diverse Vision Foundation Models for Robot Learning. 724-748 - Thies Oelerich, Christian Hartl-Nesic, Andreas Kugi:
Language-guided Manipulator Motion Planning with Bounded Task Space. 749-779 - Alexander Luis Mitchell, Wolfgang Merkt, Aristotelis Papatheodorou, Ioannis Havoutis, Ingmar Posner:
Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion. 780-793 - Teng Xue, Amirreza Razmjoo, Suhan Shetty, Sylvain Calinon:
Robust Manipulation Primitive Learning via Domain Contraction. 794-809 - Georgios Papagiannis, Edward Johns:
MILES: Making Imitation Learning Easy with Self-Supervision. 810-829 - Liquan Wang, Ankit Goyal, Haoping Xu, Animesh Garg:
Discovering Robotic Interaction Modes with Discrete Representation Learning. 830-863 - Youwei Yu, Junhong Xu, Lantao Liu:
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation. 864-884 - Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, Mustafa Mukadam:
Sparsh: Self-supervised touch representations for vision-based tactile sensing. 885-915 - Fatemeh Zargarbashi, Jin Cheng, Dongho Kang, Robert W. Sumner, Stelian Coros:
RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards. 916-932 - Jianke Zhang, Yanjiang Guo, Xiaoyu Chen, Yen-Jen Wang, Yucheng Hu, Chengming Shi, Jianyu Chen:
HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers. 933-946 - Zeyi Liu, Cheng Chi, Eric Cousineau, Naveen Kuppuswamy, Benjamin Burchfiel, Shuran Song:
ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data. 947-962 - Wenshuai Zhao, Yi Zhao, Joni Pajarinen, Michael Muehlebach:
Bi-Level Motion Imitation for Humanoid Robots. 963-981 - Eugenio Chisari, Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada:
Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching. 982-993 - Jan Brüdigam, Ali-Adeeb Abbas, Maks Sorokin, Kuan Fang, Brandon Hung, Maya Guru, Stefan Sosnowski, Jiuguang Wang, Sandra Hirche, Simon Le Cleac'h:
Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation. 994-1020 - Bikram Pandit, Ashutosh Gupta, Mohitvishnu S. Gadde, Addison Johnson, Aayam Kumar Shrestha, Helei Duan, Jeremy Dao, Alan Fern:
Learning Decentralized Multi-Biped Control for Payload Transport. 1021-1034 - Kyle Stachowicz, Lydia Ignatova, Sergey Levine:
Lifelong Autonomous Improvement of Navigation Foundation Models in the Wild. 1035-1047 - Jingyun Yang, Ziang Cao, Congyue Deng, Rika Antonova, Shuran Song, Jeannette Bohg:
EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning. 1048-1068 - Alex Quach, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus:
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks. 1069-1093 - Junfeng Long, Wenye Yu, Quanyi Li, Zirui Wang, Dahua Lin, Jiangmiao Pang:
Learning H-Infinity Locomotion Control. 1094-1108 - Jia-Feng Cai, Zibo Chen, Xiao-Ming Wu, Jian-Jian Jiang, Yi-Lin Wei, Wei-Shi Zheng:
Real-to-Sim Grasp: Rethinking the Gap between Simulation and Real World in Grasp Detection. 1109-1124 - Harshit Sikchi, Caleb Chuck, Amy Zhang, Scott Niekum:
A Dual Approach to Imitation Learning from Observations with Offline Datasets. 1125-1147 - Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor:
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data. 1148-1172 - Stephen Tian, Blake Wulfe, Kyle Sargent, Katherine Liu, Sergey Zakharov, Vitor Campagnolo Guizilini, Jiajun Wu:
View-Invariant Policy Learning via Zero-Shot Novel View Synthesis. 1173-1193 - Cheng Qian, Julen Urain, Kevin Zakka, Jan Peters:
PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations. 1194-1215 - Ahmed Agha, Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer:
Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters. 1216-1230 - Zeyu Dong, Yimin Zhu, Yansong Li, Kevin Mahon, Yu Sun:
Generalizing End-To-End Autonomous Driving In Real-World Environments Using Zero-Shot LLMs. 1231-1249 - Jakob Thumm, Christopher Agia, Marco Pavone, Matthias Althoff:
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction. 1250-1267 - Eric Cai, Octavian Donca, Ben Eisner, David Held:
Non-rigid Relative Placement through 3D Dense Diffusion. 1268-1289 - William Xie, Maria Valentini, Jensen Lavering, Nikolaus Correll:
DeliGrasp: Inferring Object Properties with LLMs for Adaptive Grasp Policies. 1290-1309 - Shuo Cheng, Caelan Reed Garrett, Ajay Mandlekar, Danfei Xu:
NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors. 1310-1339 - Ziwei Liao, Binbin Xu, Steven L. Waslander:
Toward General Object-level Mapping from Sparse Views with 3D Diffusion Priors. 1340-1361 - Aidan Curtis, Nishanth Kumar, Jing Cao, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction. 1362-1383 - Quan Quan, Kai-Yuan Cai, Chenyu Wang:
Control with Patterns: A D-learning Method. 1384-1401 - Vivek Myers, Chunyuan Zheng, Oier Mees, Kuan Fang, Sergey Levine:
Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation. 1402-1426 - William F. Whitney, Jake Varley, Deepali Jain, Krzysztof Marcin Choromanski, Sumeet Singh, Vikas Sindhwani:
Modeling the Real World with High-Density Visual Particle Dynamics. 1427-1442 - Mazeyu Ji, Ri-Zhao Qiu, Xueyan Zou, Xiaolong Wang:
GraspSplats: Efficient Manipulation with 3D Feature Splatting. 1443-1460 - Utkarsh Aashu Mishra, Yongxin Chen, Danfei Xu:
Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph. 1461-1472 - Mohammadreza Mohades Kasaei, Hamidreza Kasaei, Mohsen Khadem:
SoftManiSim: A Fast Simulation Framework for Multi-Segment Continuum Manipulators Tailored for Robot Learning. 1473-1500 - Juan Del Aguila Ferrandis, João Moura, Sethu Vijayakumar:
Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions. 1501-1515 - Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris M. Kitani, Changliu Liu, Guanya Shi:
OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning. 1516-1540 - Chengbo Yuan, Chuan Wen, Tong Zhang, Yang Gao:
General Flow as Foundation Affordance for Scalable Robot Learning. 1541-1566 - Xiaoyu Huang, Yufeng Chi, Ruofeng Wang, Zhongyu Li, Xue Bin Peng, Yakun Sophia Shao, Borivoje Nikolic, Koushil Sreenath:
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets. 1567-1589 - Huaxiaoyue Wang, Nathaniel Chin, Gonzalo Gonzalez-Pumariega, Xiangwan Sun, Neha Sunkara, Maximus Adrian Pace, Jeannette Bohg, Sanjiban Choudhury:
APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs. 1590-1642 - Jin Wang, Rui Dai, Weijie Wang, Luca Rossini, Francesco Ruscelli, Nikos G. Tsagarakis:
HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation. 1643-1674 - Siyuan Huang, Haonan Chang, Yuhan Liu, Yimeng Zhu, Hao Dong, Abdeslam Boularias, Peng Gao, Hongsheng Li:
A3VLM: Actionable Articulation-Aware Vision Language Model. 1675-1690 - Yunfan Jiang, Chen Wang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei:
TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction. 1691-1729 - Andrew Choong-Won Lee, Ian T. Chuang, Ling-Yuan Chen, Iman Soltani:
InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation. 1730-1743 - Renming Huang, Shaochong Liu, Yunqiang Pei, Peng Wang, Guoqing Wang, Yang Yang, Heng Tao Shen:
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance. 1744-1762 - Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan:
Q-SLAM: Quadric Representations for Monocular SLAM. 1763-1781 - Yinsen Jia, Boyuan Chen:
ClutterGen: A Cluttered Scene Generator for Robot Learning. 1782-1796 - Hanjiang Hu, Yujie Yang, Tianhao Wei, Changliu Liu:
Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation. 1797-1814 - Zhecheng Yuan, Tianming Wei, Shuiqi Cheng, Gu Zhang, Yuanpei Chen, Huazhe Xu:
Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning. 1815-1833 - Siang Chen, Pengwei Xie, Wei Tang, Dingchang Hu, Yixiang Dai, Guijin Wang:
Region-aware Grasp Framework with Normalized Grasp Space for Efficient 6-DoF Grasping. 1834-1850 - Mingtong Zhang, Kaifeng Zhang, Yunzhu Li:
Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling. 1851-1862 - Zihan Wang, Brian Liang, Varad Dhat, Zander Brumbaugh, Nick Walker, Ranjay Krishna, Maya Cakmak:
I Can Tell What I am Doing: Toward Real-World Natural Language Grounding of Robot Experiences. 1863-1890 - Jianing Qian, Yunshuang Li, Bernadette Bucher, Dinesh Jayaraman:
Task-Oriented Hierarchical Object Decomposition for Visuomotor Control. 1891-1909 - Tony Z. Zhao, Jonathan Tompson, Danny Driess, Pete Florence, Seyed Kamyar Seyed Ghasemipour, Chelsea Finn, Ayzaan Wahid:
ALOHA Unleashed: A Simple Recipe for Robot Dexterity. 1910-1924 - Adam Fishman, Aaron Walsman, Mohak Bhardwaj, Wentao Yuan, Balakumar Sundaralingam, Byron Boots, Dieter Fox:
Avoid Everything: Model-Free Collision Avoidance with Expert-Guided Fine-Tuning. 1925-1948 - Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki:
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations. 1949-1974 - Ziwen Zhuang, Shenzhe Yao, Hang Zhao:
Humanoid Parkour Learning. 1975-1991 - Weiyu Liu, Neil Nie, Ruohan Zhang, Jiayuan Mao, Jiajun Wu:
Learning Compositional Behaviors from Demonstration and Language. 1992-2028 - Lei Huang, Weijia Cai, Zihan Zhu, Chen Feng, Helge Rhodin, Zhengbo Zou:
VIRL: Self-Supervised Visual Graph Inverse Reinforcement Learning. 2029-2048 - Yuxing Long, Wenzhe Cai, Hongcheng Wang, Guanqi Zhan, Hao Dong:
InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment. 2049-2060 - Jacob Levy, Tyler Westenbroek, David Fridovich-Keil:
Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models. 2061-2079 - Mehar Khurana, Neehar Peri, James Hays, Deva Ramanan:
Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection. 2080-2103 - Iad Abdul Raouf, Vincent Gay-Bellile, Cyril Joly, Steve Bourgeois, Alexis Paljic:
Large Scale Mapping of Indoor Magnetic Field by Local and Sparse Gaussian Processes. 2104-2119 - Mike Zhang, Kaixian Qu, Vaishakh Patil, Cesar Cadena, Marco Hutter:
Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models. 2120-2146 - Prajwal Koirala, Cody H. Fleming:
Solving Offline Reinforcement Learning with Decision Tree Regression. 2147-2163 - Chongkai Gao, Zhengrong Xue, Shuying Deng, Tianhai Liang, Siqi Yang, Lin Shao, Huazhe Xu:
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation. 2164-2182 - Junik Bae, Kwanyoung Park, Youngwoon Lee:
TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations. 2183-2204 - Abrar Anwar, Rohan Gupta, Jesse Thomason:
Contrast Sets for Evaluating Language-Guided Robot Policies. 2205-2219 - Huaxiaoyue Wang, Kushal Kedia, Juntao Ren, Rahma Abdullah, Atiksh Bhardwaj, Angela Chao, Kelly Y. Chen, Nathaniel Chin, Prithwish Dan, Xinyi Fan, Gonzalo Gonzalez-Pumariega, Aditya Kompella, Maximus Adrian Pace, Yash Sharma, Xiangwan Sun, Neha Sunkara, Sanjiban Choudhury:
MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking. 2220-2294 - Tianhao Wei, Liqian Ma, Rui Chen, Weiye Zhao, Changliu Liu:
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills. 2295-2346 - Zihan Zhou, Animesh Garg, Dieter Fox, Caelan Reed Garrett, Ajay Mandlekar:
SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation. 2347-2371 - Aadhithya Iyer, Zhuoran Peng, Yinlong Dai, Irmak Güzey, Siddhant Haldar, Soumith Chintala, Lerrel Pinto:
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation. 2372-2395 - Jinyeon Kim, Cheolhong Min, Byeonghwi Kim, Jonghyun Choi:
Pre-emptive Action Revision by Environmental Feedback for Embodied Instruction Following Agents. 2396-2428 - Mohit Shridhar, Yat Long Lo, Stephen James:
Generative Image as Action Models. 2429-2455 - Boce Hu, Xupeng Zhu, Dian Wang, Zihao Dong, Haojie Huang, Chenghao Wang, Robin Walters, Robert Platt:
OrbitGrasp: SE(3)-Equivariant Grasp Learning. 2456-2474 - Mengda Xu, Zhenjia Xu, Yinghao Xu, Cheng Chi, Gordon Wetzstein, Manuela Veloso, Shuran Song:
Flow as the Cross-domain Manipulation Interface. 2475-2499 - Alan Yu, Ge Yang, Ran Choi, Yajvan Ravan, John Leonard, Phillip Isola:
Learning Visual Parkour from Generated Images. 2500-2516 - Anushri Dixit, Zhiting Mei, Meghan Booker, Mariko Storey-Matsutani, Allen Z. Ren, Anirudha Majumdar:
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception. 2517-2541 - Jiaxu Xing, Angel Romero, Leonard Bauersfeld, Davide Scaramuzza:
Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight. 2542-2556 - Binghao Huang, Yixuan Wang, Xinyi Yang, Yiyue Luo, Yunzhu Li:
3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing. 2557-2578 - Aman Sinha, Payam Nikdel, Supratik Paul, Shimon Whiteson:
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling. 2579-2598 - Jonathan A. DeCastro, Andrew Silva, Deepak E. Gopinath, Emily Sumner, Thomas Matrai Balch, Laporsha Dees, Guy Rosman:
Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing. 2599-2628 - Achref Doula, Tobias Güdelhöfer, Max Mühlhäuser, Alejandro Sánchez Guinea:
Conformal Prediction for Semantically-Aware Autonomous Perception in Urban Environments. 2629-2654 - Piotr Kicki, Davide Tateo, Puze Liu, Jonas Günster, Jan Peters, Krzysztof Walas:
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning. 2655-2678 - Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Paul Foster, Pannag R. Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn:
OpenVLA: An Open-Source Vision-Language-Action Model. 2679-2713 - Xinyu Zhang, Yuhan Liu, Haonan Chang, Abdeslam Boularias:
Scaling Manipulation Learning with Visual Kinematic Chain Prediction. 2714-2728 - Xuxin Cheng, Jialong Li, Shiqi Yang, Ge Yang, Xiaolong Wang:
Open-TeleVision: Teleoperation with Immersive Active Visual Feedback. 2729-2749 - Caelan Reed Garrett, Ajay Mandlekar, Bowen Wen, Dieter Fox:
SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment. 2750-2790 - Suvir Mirchandani, Suneel Belkhale, Joey Hejna, Evelyn Choi, Md Sazzad Islam, Dorsa Sadigh:
So You Think You Can Scale Up Autonomous Robot Data Collection? 2791-2810 - Yang Gao, Po-Chien Luan, Alexandre Alahi:
Multi-Transmotion: Pre-trained Model for Human Motion Prediction. 2811-2827 - Zipeng Fu, Qingqing Zhao, Qi Wu, Gordon Wetzstein, Chelsea Finn:
HumanPlus: Humanoid Shadowing and Imitation from Humans. 2828-2844 - Alberta Longhini, Marcel Büsching, Bardienus Pieter Duisterhof, Jens Lundell, Jeffrey Ichnowski, Mårten Björkman, Danica Kragic:
Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision. 2845-2865 - Younggyo Seo, Jafar Uruç, Stephen James:
Continuous Control with Coarse-to-fine Reinforcement Learning. 2866-2894 - Yili Liu, Linzhan Mou, Xuan Yu, Chenrui Han, Sitong Mao, Rong Xiong, Yue Wang:
Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction. 2895-2912 - Mike Zhang, Yuntao Ma, Takahiro Miki, Marco Hutter:
Learning to Open and Traverse Doors with a Legged Manipulator. 2913-2927 - Justin Wasserman, Ananye Agarwal, Rishabh Jangir, Girish Chowdhary, Deepak Pathak, Abhinav Gupta:
Legolas: Deep Leg-Inertial Odometry. 2928-2947 - Pinhao Song, Pengteng Li, Renaud Detry:
Implicit Grasp Diffusion: Bridging the Gap between Dense Prediction and Sampling-based Grasping. 2948-2964 - Fengbo Lan, Shengjie Wang, Yunzhe Zhang, Haotian Xu, Oluwatosin OluwaPelumi Oseni, Ziye Zhang, Yang Gao, Tao Zhang:
DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands. 2965-2981 - Zihan Wang, Xiangyang Li, Jiahao Yang, Yeqi Liu, Shuqiang Jiang:
Sim-to-Real Transfer via 3D Feature Fields for Vision-and-Language Navigation. 2982-2995 - Yizhou Chen, Yiting Zhang, Zachary Brei, Tiancheng Zhang, Yuzhen Chen, Julie Wu, Ram Vasudevan:
Differentiable Discrete Elastic Rods for Real-Time Modeling of Deformable Linear Objects. 2996-3014 - Zhenyu Jiang, Yuqi Xie, Jinhan Li, Ye Yuan, Yifeng Zhu, Yuke Zhu:
Harmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptions. 3015-3026 - Hanxiao Jiang, Binghao Huang, Ruihai Wu, Zhuoran Li, Shubham Garg, Hooshang Nayyeri, Shenlong Wang, Yunzhu Li:
RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation. 3027-3052 - Beining Han, Meenal Parakh, Derek Geng, Jack A Defay, Luyang Gan, Jia Deng:
FetchBench: A Simulation Benchmark for Robot Fetching. 3053-3071 - Shaoxiong Yao, Yifan Zhu, Kris Hauser:
Structured Bayesian Meta-Learning for Data-Efficient Visual-Tactile Model Estimation. 3072-3093 - Erik Bauer, Marc Blöchlinger, Pascal Strauch, Arman Raayatsanati, Curdin Cavelti, Robert K. Katzschmann:
An Open-Source Soft Robotic Platform for Autonomous Aerial Manipulation in the Wild. 3094-3106 - Halid Abdulrahim Kadi, Kasim Terzic:
JA-TN: Pick-and-Place Towel Shaping from Crumpled States based on TransporterNet with Joint-Probability Action Inference. 3107-3123 - Jun Wang, Ying Yuan, Haichuan Che, Haozhi Qi, Yi Ma, Jitendra Malik, Xiaolong Wang:
Lessons from Learning to Spin "Pens". 3124-3138 - Chuyan Xiong, Chengyu Shen, Xiaoqi Li, Kaichen Zhou, Jiaming Liu, Ruiping Wang, Hao Dong:
Autonomous Interactive Correction MLLM for Robust Robotic Manipulation. 3139-3156 - Michal Zawalski, William Chen, Karl Pertsch, Oier Mees, Chelsea Finn, Sergey Levine:
Robotic Control via Embodied Chain-of-Thought Reasoning. 3157-3181 - Tyler Ga Wei Lum, Martin Matak, Viktor Makoviychuk, Ankur Handa, Arthur Allshire, Tucker Hermans, Nathan D. Ratliff, Karl Van Wyk:
DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics. 3182-3211 - Shiyi Chen, Zeyu Wan, Shiyang Yan, Chun Zhang, Weiyi Zhang, Qiang Li, Debing Zhang, Fasih Ud Din Farrukh:
SLR: Learning Quadruped Locomotion without Privileged Information. 3212-3224 - Haodi Hu, Feifei Qian, Daniel Seita:
Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope. 3225-3241 - Miyu Goko, Motonari Kambara, Daichi Saito, Seitaro Otsuki, Komei Sugiura:
Task Success Prediction for Open-Vocabulary Manipulation Based on Multi-Level Aligned Representations. 3242-3263 - Tong Zhang, Yingdong Hu, Jiacheng You, Yang Gao:
Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation. 3264-3284 - Rohit Mohan, Daniele Cattaneo, Florian Drews, Abhinav Valada:
Progressive Multi-Modal Fusion for Robust 3D Object Detection. 3285-3303 - Georgios Tziafas, Hamidreza Kasaei:
Towards Open-World Grasping with Large Vision-Language Models. 3304-3332 - Dantong Niu, Yuvan Sharma, Giscard Biamby, Jerome Quenum, Yutong Bai, Baifeng Shi, Trevor Darrell, Roei Herzig:
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning. 3333-3355 - Nico Bohlinger, Grzegorz Czechmanowski, Maciej Piotr Krupka, Piotr Kicki, Krzysztof Walas, Jan Peters, Davide Tateo:
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion. 3356-3378 - Jiangran Lyu, Yuxing Chen, Tao Du, Feng Zhu, Huiquan Liu, Yizhou Wang, He Wang:
ScissorBot: Learning Generalizable Scissor Skill for Paper Cutting via Simulation, Imitation, and Sim2Real. 3379-3394 - Royden Wagner, Ömer Sahin Tas, Marvin Klemp, Carlos Fernández:
JointMotion: Joint Self-Supervision for Joint Motion Prediction. 3395-3406 - Carmelo Sferrazza, Dun-Ming Huang, Fangchen Liu, Jongmin Lee, Pieter Abbeel:
Body Transformer: Leveraging Robot Embodiment for Policy Learning. 3407-3424 - Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie Shah, Jacob Andreas, Andreea Bobu:
Adaptive Language-Guided Abstraction from Contrastive Explanations. 3425-3438 - Wenhao Cui, Shengtao Li, Huaxing Huang, Bangyu Qin, Tianchu Zhang, Jinchao Han, Liang Zheng, Ziyang Tang, Chenxu Hu, Yan Ning, Jiahao Chen, Zheyuan Jiang:
Adapting Humanoid Locomotion over Challenging Terrain via Two-Phase Training. 3439-3453 - Junli Ren, Yikai Liu, Yingru Dai, Junfeng Long, Guijin Wang:
TOP-Nav: Legged Navigation Integrating Terrain, Obstacle and Proprioception Estimation. 3454-3473 - Hemant Kumawat, Biswadeep Chakraborty, Saibal Mukhopadhyay:
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator. 3474-3499 - Chuye Hong, Kangyao Huang, Huaping Liu:
Learning a Distributed Hierarchical Locomotion Controller for Embodied Cooperation. 3500-3515 - Joe Eappen, Zikang Xiong, Dipam Patel, Aniket Bera, Suresh Jagannathan:
Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications. 3516-3535 - Marion Lepert, Ria Doshi, Jeannette Bohg:
SHADOW: Leveraging Segmentation Masks for Cross-Embodiment Policy Transfer. 3536-3550 - Abhijat Biswas, Pranay Gupta, Shreeya Khurana, David Held, Henny Admoni:
Modeling Drivers' Situational Awareness from Eye Gaze for Driving Assistance. 3551-3567 - Yaoyao Qian, Xupeng Zhu, Ondrej Biza, Shuo Jiang, Linfeng Zhao, Haojie Huang, Yu Qi, Robert Platt:
ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter. 3568-3586 - Chuanyu Pan, Aolin Xu:
LiDARGrid: Self-supervised 3D Opacity Grid from LiDAR for Scene Forecasting. 3587-3599 - Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal:
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning. 3600-3621 - Young Hun Kim, Seungyeon Kim, Yonghyeon Lee, Frank C. Park:
T2SQNet: A Recognition Model for Manipulating Partially Observed Transparent Tableware Objects. 3622-3655 - Thomas Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone:
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving. 3656-3673 - Tianyi Ko, Takuya Ikeda, Hiroya Sato, Koichi Nishiwaki:
A Planar-Symmetric SO(3) Representation for Learning Grasp Detection. 3674-3687 - Hang Liu, Yi Cheng, Rankun Li, Xiaowen Hu, Linqi Ye, Houde Liu:
MBC: Multi-Brain Collaborative Control for Quadruped Robots. 3688-3704 - Xuanlin Li, Kyle Hsu, Jiayuan Gu, Oier Mees, Karl Pertsch, Homer Rich Walke, Chuyuan Fu, Ishikaa Lunawat, Isabel Sieh, Sean Kirmani, Sergey Levine, Jiajun Wu, Chelsea Finn, Hao Su, Quan Vuong, Ted Xiao:
Evaluating Real-World Robot Manipulation Policies in Simulation. 3705-3728 - Jimmy Wu, William Chong, Robert Holmberg, Aaditya Prasad, Yihuai Gao, Oussama Khatib, Shuran Song, Szymon Rusinkiewicz, Jeannette Bohg:
TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning. 3729-3741 - Kairui Ding, Boyuan Chen, Yuchen Su, Huan-ang Gao, Bu Jin, Chonghao Sima, Xiaohui Li, Wuqiang Zhang, Paul Barsch, Hongyang Li, Hao Zhao:
Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving. 3742-3765 - Jialiang Zhao, Yuxiang Ma, Lirui Wang, Edward H. Adelson:
Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks. 3766-3779 - Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Amanda Prorok:
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications. 3780-3808 - Shiyu Jin, Jinxuan Xu, Yutian Lei, Liangjun Zhang:
Reasoning Grasping via Multimodal Large Language Model. 3809-3827 - Yuanpei Chen, Chen Wang, Yaodong Yang, C. Karen Liu:
Object-Centric Dexterous Manipulation from Human Motion Data. 3828-3846 - Jingxian Lu, Wenke Xia, Dong Wang, Zhigang Wang, Bin Zhao, Di Hu, Xuelong Li:
KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance. 3847-3865 - Zhuo Xu, Hao-Tien Lewis Chiang, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn, Peng Xu, Sergey Levine, Jie Tan:
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. 3866-3887 - Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann:
MaIL: Improving Imitation Learning with Selective State Space Models. 3888-3907 - Abhishek Paudel, Xuesu Xiao, Gregory J. Stein:
Multi-Strategy Deployment-Time Learning and Adaptation for Navigation under Uncertainty. 3908-3923 - Vidhi Jain, Rishi Veerapaneni, Yonatan Bisk:
ANAVI: Audio Noise Awareness using Visual of Indoor environments for NAVIgation. 3924-3942 - Junbang Liang, Ruoshi Liu, Ege Ozguroglu, Sruthi Sudhakar, Achal Dave, Pavel Tokmakov, Shuran Song, Carl Vondrick:
Dreamitate: Real-World Visuomotor Policy Learning via Video Generation. 3943-3960 - Runsen Xu, Zhiwei Huang, Tai Wang, Yilun Chen, Jiangmiao Pang, Dahua Lin:
VLM-Grounder: A VLM Agent for Zero-Shot 3D Visual Grounding. 3961-3985 - Xinyu Zhang, Yuhan Liu, Yuting Wang, Abdeslam Boularias:
Detect Everything with Few Examples. 3986-4004 - Wentao Yuan, Jiafei Duan, Valts Blukis, Wilbert Pumacay, Ranjay Krishna, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox:
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction in Robotics. 4005-4020 - Julian Eßer, Gabriel B. Margolis, Oliver Urbann, Sören Kerner, Pulkit Agrawal:
Action Space Design in Reinforcement Learning for Robot Motor Skills. 4021-4032 - Michael Murray, Abhishek Gupta, Maya Cakmak:
Teaching Robots with Show and Tell: Using Foundation Models to Synthesize Robot Policies from Language and Visual Demonstration. 4033-4050 - Kensuke Nakamura, Thomas Tian, Andrea Bajcsy:
Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures. 4051-4065 - Zipeng Fu, Tony Z. Zhao, Chelsea Finn:
Mobile ALOHA: Learning Bimanual Mobile Manipulation using Low-Cost Whole-Body Teleoperation. 4066-4083 - Li-Heng Lin, Yuchen Cui, Amber Xie, Tianyu Hua, Dorsa Sadigh:
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning. 4084-4099 - Tianyi Xiong, Jiayi Wu, Botao He, Cornelia Fermüller, Yiannis Aloimonos, Heng Huang, Christopher A. Metzler:
Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion. 4100-4118 - Jiawei Hou, Tianyu Wang, Tongying Pan, Shouyan Wang, Xiangyang Xue, Yanwei Fu:
TaMMa: Target-driven Multi-subscene Mobile Manipulation. 4119-4140 - Benjamin Wilson, Nicholas Autio Mitchell, Jhony Kaesemodel Pontes, James Hays:
What Matters in Range View 3D Object Detection. 4141-4157 - Nils Blank, Moritz Reuss, Marcel Rühle, Ömer Erdinç Yagmurlu, Fabian Wenzel, Oier Mees, Rudolf Lioutikov:
Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models. 4158-4187 - Yizhuo Wang, Yuhong Cao, Jimmy Chiun, Subhadeep Koley, Mandy Pham, Guillaume Adrien Sartoretti:
ViPER: Visibility-based Pursuit-Evasion via Reinforcement Learning. 4188-4200 - Nikita Chernyadev, Nicholas Backshall, Xiao Ma, Yunfan Lu, Younggyo Seo, Stephen James:
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark. 4201-4217 - Xialin He, Chengjing Yuan, Wenxuan Zhou, Ruihan Yang, David Held, Xiaolong Wang:
Visual Manipulation with Legs. 4218-4234 - Bartlomiej Cieslar, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Jorge Mendez-Mendez:
Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning. 4235-4252 - Po-Chen Ko, Hung-Ting Su, CY Chen, Jia-Fong Yeh, Min Sun, Winston H. Hsu:
Context-Aware Replanning with Pre-Explored Semantic Map for Object Navigation. 4253-4267 - Elliot Chane-Sane, Joseph Amigo, Thomas Flayols, Ludovic Righetti, Nicolas Mansard:
SoloParkour: Constrained Reinforcement Learning for Visual Locomotion from Privileged Experience. 4268-4285 - Huihan Liu, Yu Zhang, Vaarij Betala, Evan Zhang, James Liu, Crystal Ding, Yuke Zhu:
Multi-Task Interactive Robot Fleet Learning with Visual World Models. 4286-4313 - Zheyu Zhuang, Ruiyu Wang, Nils Ingelhag, Ville Kyrki, Danica Kragic:
Enhancing Visual Domain Robustness in Behaviour Cloning via Saliency-Guided Augmentation. 4314-4331 - Jiaxun Liu, Boyuan Chen:
SonicSense: Object Perception from In-Hand Acoustic Vibration. 4332-4353 - I-Chun Arthur Liu, Sicheng He, Daniel Seita, Gaurav S. Sukhatme:
VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation. 4354-4370 - Youngsun Wi, Jayjun Lee, Miquel Oller, Nima Fazeli:
Neural Inverse Source Problem. 4371-4391 - Huang Huang, Balakumar Sundaralingam, Arsalan Mousavian, Adithyavairavan Murali, Ken Goldberg, Dieter Fox:
DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning. 4392-4409 - Patrick Naughton, Jinda Cui, Karankumar Patel, Soshi Iba:
ResPilot: Teleoperated Finger Gaiting via Gaussian Process Residual Learning. 4410-4424 - Shivin Dass, Jiaheng Hu, Ben Abbatematteo, Peter Stone, Roberto Martín-Martín:
Learning to Look: Seeking Information for Decision Making via Policy Factorization. 4425-4445 - Xiaomeng Xu, Huy Ha, Shuran Song:
Dynamics-Guided Diffusion Model for Sensor-less Robot Manipulator Design. 4446-4462 - Skand Peri, Bikram Pandit, Chanho Kim, Fuxin Li, Stefan Lee:
Simple Masked Training Strategies Yield Control Policies That Are Robust to Sensor Failure. 4463-4482 - Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, David D. Fan, Wenshan Wang, Sebastian A. Scherer:
Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation. 4483-4494 - Qianxu Wang, Congyue Deng, Tyler Ga Wei Lum, Yuanpei Chen, Yaodong Yang, Jeannette Bohg, Yixin Zhu, Leonidas J. Guibas:
Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping. 4495-4508 - Hongyi Chen, Abulikemu Abuduweili, Aviral Agrawal, Yunhai Han, Harish Ravichandar, Changliu Liu, Jeffrey Ichnowski:
KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation. 4509-4524 - Kaylee Burns, Zach Witzel, Jubayer Ibn Hamid, Tianhe Yu, Chelsea Finn, Karol Hausman:
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? 4525-4545 - Hai Huu Nguyen, Long Dinh Van The, Christopher Amato, Robert Platt:
Leveraging Mutual Information for Asymmetric Learning under Partial Observability. 4546-4572 - Wenlong Huang, Chen Wang, Yunzhu Li, Ruohan Zhang, Li Fei-Fei:
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation. 4573-4602 - Oguzhan Akcin, Ahmet Ege Tanriverdi, Kaan Kale, Sandeep P. Chinchali:
Fleet Supervisor Allocation: A Submodular Maximization Approach. 4603-4630 - Ruihan Yang, Zhuoqun Chen, Jianhan Ma, Chongyi Zheng, Yiyu Chen, Quan Nguyen, Xiaolong Wang:
Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior. 4631-4650 - Teli Ma, Jiaming Zhou, Zifan Wang, Ronghe Qiu, Junwei Liang:
Contrastive Imitation Learning for Language-guided Multi-Task Robotic Manipulation. 4651-4669 - Jonas Günster, Puze Liu, Jan Peters, Davide Tateo:
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning. 4670-4697 - Xiaoyu Tian, Junru Gu, Bailin Li, Yicheng Liu, Yang Wang, Zhiyong Zhao, Kun Zhan, Peng Jia, Xianpeng Lang, Hang Zhao:
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models. 4698-4726 - Max Yang, Chenghua Lu, Alex Church, Yijiong Lin, Christopher J. Ford, Haoran Li, Efi Psomopoulou, David A. W. Barton, Nathan F. Lepora:
AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch. 4727-4747 - Ola Shorinwa, Johnathan Tucker, Aliyah Smith, Aiden Swann, Timothy Chen, Roya Firoozi, Monroe Kennedy III, Mac Schwager:
Splat-MOVER: Multi-Stage, Open-Vocabulary Robotic Manipulation via Editable Gaussian Splatting. 4748-4770 - Yunyue Wei, Zeji Yi, Hongda Li, Saraswati Soedarmadji, Yanan Sui:
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems. 4771-4792 - Lakshmideepakreddy Manda, Shaoru Chen, Mahyar Fazlyab:
Learning Performance-oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation. 4793-4804 - Zhiyuan Zhou, Pranav Atreya, Abraham Lee, Homer Rich Walke, Oier Mees, Sergey Levine:
Autonomous Improvement of Instruction Following Skills via Foundation Models. 4805-4825 - Anish Bhattacharya, Marco Cannici, Nishanth Rao, Yuezhan Tao, Vijay Kumar, Nikolai Matni, Davide Scaramuzza:
Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor. 4826-4843 - Kelin Yu, Yunhai Han, Qixian Wang, Vaibhav Saxena, Danfei Xu, Ye Zhao:
MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation. 4844-4865 - Yixuan Wang, Guang Yin, Binghao Huang, Tarik Kelestemur, Jiuguang Wang, Yunzhu Li:
GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy. 4866-4878 - Chunru Lin, Jugang Fan, Yian Wang, Zeyuan Yang, Zhehuan Chen, Lixing Fang, Tsun-Hsuan Wang, Zhou Xian, Chuang Gan:
UBSoft: A Simulation Platform for Robotic Skill Learning in Unbounded Soft Environments. 4879-4894 - Shiqi Yang, Minghuan Liu, Yuzhe Qin, Runyu Ding, Jialong Li, Xuxin Cheng, Ruihan Yang, Sha Yi, Xiaolong Wang:
ACE: A Cross-platform and visual-Exoskeletons System for Low-Cost Dexterous Teleoperation. 4895-4911 - Tianyuan Dai, Josiah Wong, Yunfan Jiang, Chen Wang, Cem Gokmen, Ruohan Zhang, Jiajun Wu, Li Fei-Fei:
Automated Creation of Digital Cousins for Robust Policy Learning. 4912-4943 - Songlin Wei, Haoran Geng, Jiayi Chen, Congyue Deng, Wenbo Cui, Chengyang Zhao, Xiaomeng Fang, Leonidas J. Guibas, He Wang:
D3RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation. 4944-4966 - Huang-Yu Chen, Jia-Fong Yeh, Jiawe Jiawei, Pin-Hsuan Peng, Winston H. Hsu:
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection. 4967-4980 - Xiao Chen, Tianle Ni, Kübra Karacan, Hamid Sadeghian, Sami Haddadin:
Online Transfer and Adaptation of Tactile Skill: A Teleoperation Framework. 4981-4995 - Mitsuhiko Nakamoto, Oier Mees, Aviral Kumar, Sergey Levine:
Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance. 4996-5013 - Tarek El-Agroudi, Finn Gross Maurer, Jørgen Anker Olsen, Kostas Alexis:
In-Flight Attitude Control of a Quadruped using Deep Reinforcement Learning. 5014-5029 - Pu Hua, Minghuan Liu, Annabella Macaluso, Yunfeng Lin, Weinan Zhang, Huazhe Xu, Lirui Wang:
GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs. 5030-5066 - Byeongdo Lim, Jongmin Kim, Jihwan Kim, Yonghyeon Lee, Frank C. Park:
EquiGraspFlow: SE(3)-Equivariant 6-DoF Grasp Pose Generative Flows. 5067-5086 - Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Krähenbühl, Marco Pavone:
Promptable Closed-loop Traffic Simulation. 5087-5105 - Jialiang Zhang, Haoran Liu, Danshi Li, Xinqiang Yu, Haoran Geng, Yufei Ding, Jiayi Chen, He Wang:
DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes. 5106-5133 - Nelson Chen, Kun Wang, William R. Johnson III, Rebecca Kramer-Bottiglio, Kostas E. Bekris, Mridul Aanjaneya:
Learning Differentiable Tensegrity Dynamics using Graph Neural Networks. 5134-5149 - Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters:
IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies. 5150-5165 - Kenneth Shaw, Yulong Li, Jiahui Yang, Mohan Kumar Srirama, Ray Liu, Haoyu Xiong, Russell Mendonca, Deepak Pathak:
Bimanual Dexterity for Complex Tasks. 5166-5183 - Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler:
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands. 5184-5203 - Russell Mendonca, Emmanuel Panov, Bernadette Bucher, Jiuguang Wang, Deepak Pathak:
Continuously Improving Mobile Manipulation with Autonomous Real-World RL. 5204-5219 - Toru Lin, Zhao-Heng Yin, Haozhi Qi, Pieter Abbeel, Jitendra Malik:
Twisting Lids Off with Two Hands. 5220-5235 - Balázs Gyenes, Nikolai Franke, Philipp Becker, Gerhard Neumann:
PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds. 5236-5253 - Huy Ha, Yihuai Gao, Zipeng Fu, Jie Tan, Shuran Song:
UMI-on-Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers. 5254-5270 - Yishu Li, Wen Hui Leng, Yiming Fang, Ben Eisner, David Held:
FlowBotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects Manipulation. 5271-5293 - Ruihan Zhao, Ufuk Topcu, Sandeep P. Chinchali, Mariano Phielipp:
Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations. 5294-5311 - Daulet Baimukashev, Gokhan Alcan, Kevin Sebastian Luck, Ville Kyrki:
Learning Transparent Reward Models via Unsupervised Feature Selection. 5312-5325 - Jiafei Duan, Wentao Yuan, Wilbert Pumacay, Yi Ru Wang, Kiana Ehsani, Dieter Fox, Ranjay Krishna:
Manipulate-Anything: Automating Real-World Robots using Vision-Language Models. 5326-5350 - Yeeho Song, Jeff G. Schneider:
Genetic Algorithm for Curriculum Design in Multi-Agent Reinforcement Learning. 5351-5372 - Huiqiao Fu, Kaiqiang Tang, Peng Li, Guizhou Deng, Chunlin Chen:
Multi-agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots. 5373-5388 - Zhaojing Yang, Miru Jun, Jeremy Tien, Stuart Russell, Anca D. Dragan, Erdem Biyik:
Trajectory Improvement and Reward Learning from Comparative Language Feedback. 5389-5404 - Tyler Ga Wei Lum, Albert H. Li, Preston Culbertson, Krishnan Srinivasan, Aaron D. Ames, Mac Schwager, Jeannette Bohg:
Get a Grip: Multi-Finger Grasp Evaluation at Scale Enables Robust Sim-to-Real Transfer. 5405-5433 - Alejandro Escontrela, Justin Kerr, Kyle Stachowicz, Pieter Abbeel:
Learning Robotic Locomotion Affordances and Photorealistic Simulators from Human-Captured Data. 5434-5445 - Siyue Wang, Zhaorun Chen, Zhuokai Zhao, Chaoli Mao, Yiyang Zhou, Jiayu He, Albert Sibo Hu:
EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving. 5446-5465 - Zhan Gao, Guang Yang, Jasmine Bayrooti, Amanda Prorok:
Provably Safe Online Multi-Agent Navigation in Unknown Environments. 5466-5486
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