CoRL: Conference on Robot Learning
The premier annual conference focused on the intersection of robotics and machine learning. CoRL brings together researchers from robotics, machine learning, and AI to advance the state of robot learning through shared insights and collaborative research. Features cutting-edge research in robot learning, imitation learning, reinforcement learning, and sim-to-real transfer.
- Organiser: Robot Learning Foundation
- Founded: 2017
- Frequency: annual
- Usually held in: November
- Duration: 4 days
- Typical attendance: 400-600
- Audience: Machine learning researchers, robotics researchers
- Topics: robot learning, imitation learning, reinforcement learning, sim-to-real, manipulation learning, navigation, perception
- Tags: robot-learning, machine-learning, reinforcement-learning
Next edition
Keynote speakers
- 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)
Workshops
- 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
Papers
- 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
Editions
- CoRL 2026, Nov 9 – 12, 2026, Austin, TX, USA
- CoRL 2025, Sep 27 – 30, 2025, Seoul, South Korea
- CoRL 2024, Nov 6 – 9, 2024, Munich, Germany
- CoRL 2023, Nov 6 – 9, 2023, Atlanta, GA, USA
- CoRL 2022, Dec 14 – 18, 2022, Auckland, New Zealand
- CoRL 2021, Nov 8 – 11, 2021, London, UK
- CoRL 2020, Nov 16 – 18, 2020, Virtual (MIT)
- CoRL 2019, Oct 30 – Nov 1, 2019, Osaka, Japan
- CoRL 2018, Oct 29 – 31, 2018, Zurich, Switzerland
- CoRL 2017, Nov 13 – 15, 2017, Mountain View, CA, USA