Open Source Robotics

精选高质量开源机器人项目、工具和软件,推动机器人社区发展。

CoRL: Conference on Robot Learning

专注于机器人与机器学习交叉领域的年度顶级会议。CoRL汇聚机器人、机器学习和人工智能领域的研究人员,通过共享见解和协作研究推进机器人学习的发展。会议涵盖机器人学习、模仿学习、强化学习和仿真到真实迁移等前沿研究。

  • 主办方: Robot Learning Foundation
  • 成立: 2017
  • 更新频率: annual
  • 通常举办月份: November
  • 时长: 4 days
  • 通常参会人数: 400-600
  • 受众: Machine learning researchers, robotics researchers
  • 主题: robot learning, imitation learning, reinforcement learning, sim-to-real, manipulation learning, navigation, perception
  • 标签: robot-learning, machine-learning, reinforcement-learning

下一届

  • CoRL 2026, 2026/11/9 – 2026/11/12, JW Marriott Austin, Austin, TX, USA

主旨演讲嘉宾

  • Russ Tedrake (MIT; Walden Robotics): Keynote
  • Fei-Fei Li (Stanford University; World Labs): Keynote
  • Wolfram Burgard (University of Technology Nuremberg): Keynote
  • Negar Mehr (UC Berkeley): Early Career Keynote
  • Roberto Martín-Martín (UT Austin): Early Career Keynote
  • Hang Zhao (Tsinghua University (IIIS); Galaxea AI): Early Career Keynote
  • Vincent Vanhoucke (Waymo): CoRL 2026 debate (special panel)
  • Marc Toussaint (TU Berlin): CoRL 2026 debate (special panel)
  • Chelsea Finn (Stanford / Physical Intelligence): CoRL 2026 debate (special panel)
  • Leslie Kaelbling (MIT): CoRL 2026 debate (special panel)
  • Pulkit Agrawal (MIT / Eka Robotics): CoRL 2026 debate (special panel)
  • Edward Johns (Imperial College London): CoRL 2026 debate (special panel)
  • Yonatan Bisk (Carnegie Mellon University): CoRL 2026 debate (special panel)

研讨会

  • From Human Videos to Dexterous Robot Capability: A Hands-on Tutorial, 12 November 2026
  • The UMI Olympics: From Handheld Devices to Real-World Policies, 12 November 2026
  • From GPU-Accelerated Simulation for Real-World Robot Policy Learning, 12 November 2026
  • Sim-to-Real-to-Field (SRF): The Science of Transfer, 12 November 2026
  • Everything Beneath the Policy: How Controllers, Hardware, and Data Infrastructure Shape Robot Learning, 12 November 2026
  • "Oops, I Erred" — Collecting, Curating and Using Imperfect Data for Realistic Scenarios, 12 November 2026
  • Scaling H2R: Scaling Laws and Diversity in Human-to-Robot Workshop, 12 November 2026
  • Do Robots Need World Models? A Debate on Dynamics Learning, Planning, and End-to-End Robot Learning, 12 November 2026
  • Bringing Physics Simulation and World Models Together for Robotic Manipulation, 12 November 2026
  • Efficient Foundation Models for Real-Time Embodied AI, 12 November 2026
  • Pretrain to Adapt: What Makes a Pretrained Policy Adaptable?, 12 November 2026
  • 3rd Workshop on Dexterous Manipulation: Full-Stack Robotics on Learning and Design, 12 November 2026
  • R2RL: Roadmap to Sample-Efficient Real-World Reinforcement Learning, 12 November 2026
  • Beyond Binary Success: Diagnosing Fine-Grained Capabilities in Robot Manipulation, 12 November 2026
  • The Science of Physical AI Safety Workshop (SPAIS), 12 November 2026

论文

  • Data Retrieval with Importance Weights for Few-Shot Imitation Learning: Amber Xie, Rahul Chand, Dorsa Sadigh, Joey Hejna · CoRL 2025 · 2025
  • π0.5: a Vision-Language-Action Model with Open-World Generalization: Kevin Black, Noah Brown, James Darpinian, Karan Dhabalia, Danny Driess, Adnan Esmail, Michael Robert Equi, Chelsea Finn, Niccolo Fusai, Manuel Y. Galliker · CoRL 2025 · 2025
  • Geometric Red-Teaming for Robotic Manipulation: Divyam Goel, Yufei Wang, Tiancheng Wu, Guixiu Qiao, Pavel Piliptchak, David Held, Zackory Erickson · CoRL 2025 · 2025
  • Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensing: Gokul Puthumanaillam, Aditya Penumarti, Manav Vora, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Jane Shin, Melkior Ornik · CoRL 2025 · 2025
  • Reactive In-Air Clothing Manipulation with Confidence-Aware Dense Correspondence and Visuotactile Affordance: Neha Sunil, Megha Tippur, Arnau Saumell Portillo, Edward H Adelson, Alberto Rodriguez Garcia · CoRL 2025 · 2025
  • Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation: Carolina Higuera, Akash Sharma, Taosha Fan, Chaithanya Krishna Bodduluri, Byron Boots, Michael Kaess, Mike Lambeta, Tingfan Wu, Zixi Liu, Francois Robert Hogan · CoRL 2025 · 2025
  • “Stack It Up!”: 3D Stable Structure Generation from 2D Hand-drawn Sketch: Yiqing Xu, Linfeng Li, Cunjun Yu, David Hsu · CoRL 2025 · 2025
  • Cross-Sensor Touch Generation: Samanta Rodriguez, Yiming Dou, Miquel Oller, Andrew Owens, Nima Fazeli · CoRL 2025 · 2025
  • One View, Many Worlds: Single-Image to 3D object Meets Generative Domain Randomization for One-Shot 6D Pose Estimation: Zheng Geng, Nan Wang, Shaocong Xu, Chongjie Ye, Bohan Li, Zhaoxi Chen, Sida Peng, Hao Zhao · CoRL 2025 · 2025
  • AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons: Hongjie Fang, Chenxi Wang, Yiming Wang, Jingjing Chen, Shangning Xia, Jun Lv, Zihao He, Xiyan Yi, Yunhan Guo, Xinyu Zhan · CoRL 2025 · 2025
  • Non-conflicting Energy Minimization in Reinforcement Learning based Robot Control: Skand Peri, Akhil Perincherry, Bikram Pandit, Stefan Lee · CoRL 2025 · 2025
  • Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories: Sunshine Jiang, Xiaolin Fang, Nicholas Roy, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Siddharth Ancha · CoRL 2025 · 2025
  • Steering Your Diffusion Policy with Latent Space Reinforcement Learning: Andrew Wagenmaker, Yunchu Zhang, Mitsuhiko Nakamoto, Seohong Park, Waleed Yagoub, Anusha Nagabandi, Abhishek Gupta, Sergey Levine · CoRL 2025 · 2025
  • Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning: Milan Ganai, Rohan Sinha, Christopher Agia, Daniel Morton, Luigi Di Lillo, Marco Pavone · CoRL 2025 · 2025
  • ScrewSplat: An End-to-End Method for Articulated Object Recognition: Seungyeon Kim, Junsu HA, Young Hun Kim, Yonghyeon Lee, Frank C. Park · CoRL 2025 · 2025
  • RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies: Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Cyrus Neary, Edward S. Hu, Kanav Arora, Kirsty Ellis · CoRL 2025 · 2025
  • Training Strategies for Efficient Embodied Reasoning: William Chen, Suneel Belkhale, Suvir Mirchandani, Karl Pertsch, Danny Driess, Oier Mees, Sergey Levine · CoRL 2025 · 2025
  • Latent Theory of Mind: A Decentralized Diffusion Architecture for Cooperative Manipulation: Chengyang He, Gadiel Mark Sznaier Camps, Xu Liu, Mac Schwager, Guillaume Adrien Sartoretti · CoRL 2025 · 2025
  • Fabrica: Dual-Arm Assembly of General Multi-Part Objects via Integrated Planning and Learning: Yunsheng Tian, Joshua Jacob, Yijiang Huang, Jialiang Zhao, Edward Li Gu, Pingchuan Ma, Annan Zhang, Farhad Javid, Branden Romero, Sachin Chitta · CoRL 2025 · 2025
  • The Sound of Simulation: Learning Multimodal Sim-to-Real Robot Policies with Generative Audio: Renhao Wang, Haoran Geng, Tingle Li, Philipp Wu, Feishi Wang, Gopala Anumanchipalli, Trevor Darrell, Boyi Li, Pieter Abbeel, Jitendra Malik · CoRL 2025 · 2025
  • DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation: Mengda Xu, Han Zhang, Yifan Hou, Zhenjia Xu, Linxi Fan, Manuela Veloso, Shuran Song · CoRL 2025 · 2025
  • ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations: Jiahui Zhang, Yusen Luo, Abrar Anwar, Sumedh Anand Sontakke, Joseph J Lim, Jesse Thomason, Erdem Biyik, Jesse Zhang · CoRL 2025 · 2025
  • Planning from Point Clouds over Continuous Actions for Multi-object Rearrangement: Kallol Saha, Amber Li, Angela Rodriguez-Izquierdo, Lifan Yu, Ben Eisner, Maxim Likhachev, David Held · CoRL 2025 · 2025
  • SAVOR: Skill Affordance Learning from Visuo-Haptic Perception for Robot-Assisted Bite Acquisition: Zhanxin Wu, Bo Ai, Tom Silver, Tapomayukh Bhattacharjee · CoRL 2025 · 2025
  • LocoFormer: Generalist Locomotion via Long-context Adaptation: Min Liu, Deepak Pathak, Ananye Agarwal · CoRL 2025 · 2025
  • Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware: Justin Yu, Letian Fu, Huang Huang, Karim El-Refai, Rares Andrei Ambrus, Richard Cheng, Muhammad Zubair Irshad, Ken Goldberg · CoRL 2025 · 2025
  • Sampling-based System Identification with Active Exploration for Legged Sim2Real Learning: Nikhil Sobanbabu, Guanqi He, Tairan He, Yuxiang Yang, Guanya Shi · CoRL 2025 · 2025
  • DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration: Lingxiao Guo, Zhengrong Xue, Zijing Xu, Huazhe Xu · CoRL 2025 · 2025
  • Versatile Loco-Manipulation through Flexible Interlimb Coordination: Xinghao Zhu, Yuxin Chen, Lingfeng Sun, Farzad Niroui, Simon Le Cleac'h, Jiuguang Wang, Kuan Fang · CoRL 2025 · 2025
  • KineSoft: Learning Proprioceptive Manipulation Policies with Soft Robot Hands: Uksang Yoo, Jonathan Francis, Jean Oh, Jeffrey Ichnowski · CoRL 2025 · 2025
  • Learning a Unified Policy for Position and Force Control in Legged Loco-Manipulation: Peiyuan Zhi, Peiyang Li, Jianqin Yin, Baoxiong Jia, Siyuan Huang · CoRL 2025 · 2025
  • Omni-Perception: Omnidirectional Collision Avoidance of Legged Robots in Dynamic Environments: Zifan Wang, Teli Ma, Yufei Jia, Xun Yang, Jiaming Zhou, Wenlong OUYANG, Qiang Zhang, Junwei Liang · CoRL 2025 · 2025
  • HuB: Learning Extreme Humanoid Balance: Tong Zhang, Boyuan Zheng, Ruiqian Nai, Yingdong Hu, Yen-Jen Wang, Geng Chen, Fanqi Lin, Jiongye Li, Chuye Hong, Koushil Sreenath · CoRL 2025 · 2025
  • FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots: Botian Xu, Haoyang Weng, Qingzhou Lu, Yang Gao, Huazhe Xu · CoRL 2025 · 2025
  • SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies: Nadun Ranawaka Arachchige, Zhenyang Chen, Wonsuhk Jung, Woo Chul Shin, Rohan Bansal, Pierre Barroso, Yu Hang He, Yingyan Celine Lin, Benjamin Joffe, Shreyas Kousik · CoRL 2025 · 2025
  • Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors: Rafael Cathomen, Mayank Mittal, Marin Vlastelica, Marco Hutter · CoRL 2025 · 2025
  • DexSkin: High-Coverage Conformable Robotic Skin for Learning Contact-Rich Manipulation: Suzannah Wistreich, Baiyu Shi, Stephen Tian, Samuel Clarke, Michael Nath, Chengyi Xu, Zhenan Bao, Jiajun Wu · CoRL 2025 · 2025
  • Visual Imitation Enables Contextual Humanoid Control: Arthur Allshire, Hongsuk Choi, Junyi Zhang, David McAllister, Anthony Zhang, Chung Min Kim, Trevor Darrell, Pieter Abbeel, Jitendra Malik, Angjoo Kanazawa · CoRL 2025 · 2025
  • X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real: Prithwish Dan, Kushal Kedia, Angela Chao, Edward Duan, Maximus Adrian Pace, Wei-Chiu Ma, Sanjiban Choudhury · CoRL 2025 · 2025
  • ImMimic: Cross-Domain Imitation from Human Videos via Mapping and Interpolation: Yangcen Liu, Woo Chul Shin, Yunhai Han, Zhenyang Chen, Harish Ravichandar, Danfei Xu · CoRL 2025 · 2025
  • FetchBot: Learning Generalizable Object Fetching in Cluttered Scenes via Zero-Shot Sim2Real: Weiheng Liu, Yuxuan Wan, Jilong Wang, Yuxuan Kuang, Xuesong Shi, Haoran Li, Dongbin Zhao, Zhizheng Zhang, He Wang · CoRL 2025 · 2025
  • ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes: Zeyuan Chen, Qiyang Yan, Yuanpei Chen, Tianhao Wu, Jiyao Zhang, Zihan Ding, Jinzhou Li, Yaodong Yang, Hao Dong · CoRL 2025 · 2025
  • Wheeled Lab: Modern Sim2Real for Low-cost, Open-source Wheeled Robotics: Tyler Han, Preet Shah, Sidharth Rajagopal, Yanda Bao, Sanghun Jung, Sidharth Talia, Gabriel Guo, Bryan Xu, Bhaumik Mehta, Emma Romig · CoRL 2025 · 2025
  • FlashBack: Consistency Model-Accelerated Shared Autonomy: Luzhe Sun, Jingtian Ji, Xiangshan Tan, Matthew Walter · CoRL 2025 · 2025
  • CLAMP: Crowdsourcing a LArge-scale in-the-wild haptic dataset with an open-source device for Multimodal robot Perception: Pranav N. Thakkar, Shubhangi Sinha, Karan Baijal, Yuhan (Anjelica) Bian, Leah Lackey, Ben Dodson, Heisen Kong, Jueun Kwon, Amber Li, Yifei Hu · CoRL 2025 · 2025
  • DEQ-MPC : Deep Equilibrium Model Predictive Control: Swaminathan Gurumurthy, Khai Nguyen, Arun L Bishop, J Zico Kolter, Zachary Manchester · CoRL 2025 · 2025
  • Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation: Abdulaziz Almuzairee, Rohan Prashant Patil, Dwait Bhatt, Henrik I Christensen · CoRL 2025 · 2025
  • GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data: Shengliang Deng, Mi Yan, Songlin Wei, Haixin Ma, Yuxin Yang, Jiayi Chen, Zhiqi Zhang, Taoyu Yang, Xuheng Zhang, Heming Cui · CoRL 2025 · 2025
  • Multi-Loco: Unifying Multi-Embodiment Legged Locomotion via Reinforcement Learning Augmented Diffusion: Shunpeng Yang, Zhen Fu, Zhefeng Cao, Guo Junde, Patrick Wensing, Wei Zhang, Hua Chen · CoRL 2025 · 2025
  • Ensuring Force Safety in Vision-Guided Robotic Manipulation via Implicit Tactile Calibration: Lai Wei, Jiahua Ma, Yibo Hu, Ruimao Zhang · CoRL 2025 · 2025

历届

  • CoRL 2026, 2026/11/9 – 2026/11/12, Austin, TX, USA
  • CoRL 2025, 2025/9/27 – 2025/9/30, Seoul, South Korea
  • CoRL 2024, 2024/11/6 – 2024/11/9, Munich, Germany
  • CoRL 2023, 2023/11/6 – 2023/11/9, Atlanta, GA, USA
  • CoRL 2022, 2022/12/14 – 2022/12/18, Auckland, New Zealand
  • CoRL 2021, 2021/11/8 – 2021/11/11, London, UK
  • CoRL 2020, 2020/11/16 – 2020/11/18, Virtual (MIT)
  • CoRL 2019, 2019/10/30 – 2019/11/1, Osaka, Japan
  • CoRL 2018, 2018/10/29 – 2018/10/31, Zurich, Switzerland
  • CoRL 2017, 2017/11/13 – 2017/11/15, Mountain View, CA, USA

链接

  • 网站: https://www.robot-learning.org/
  • 主办方: https://www.robot-learning.org/

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