CoRL

Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams

Zhi Su, Yuman Gao, Emily Lukas, Yunfei Li, Jiaze Cai, Faris Tulbah, Fei Gao, Chao Yu, Zhongyu Li, Yi Wu, Koushil Sreenath

Comments 11 pages, 12 figures, CoRL 2025

ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation

Enyu Zhao, Vedant Raval, Hejia Zhang, Jiageng Mao, Zeyu Shangguan, Stefanos Nikolaidis, Yue Wang, Daniel Seita

机构 * Department of Computer Science, University of Southern California（计算机科学系，南加州大学） 纠错

Comments Conference on Robot Learning (CoRL) 2025. 50 pages and 30 figures. v2 is the camera-ready and includes a few more new experiments compared to v1

Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation

Tongxuan Tian, Haoyang Li, Bo Ai, Xiaodi Yuan, Zhiao Huang, Hao Su

机构 * University of California San Diego（加州大学圣地亚哥分校） ； Hillbot Inc（Hillbot公司） 纠错

Comments CoRL 2025. Project website: https://uniclothdiff.github.io/

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, Rosario Scalise, Byron Boots

机构 * University of Washington（华盛顿大学） 纠错

Comments To appear at Conference on Robot Learning, 2025

VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision

Yi Xu, Yuxin Hu, Zaiwei Zhang, Gregory P. Meyer, Siva Karthik Mustikovela, Siddhartha Srinivasa, Eric M. Wolff, Xin Huang

机构 * Cruise LLC (GM)（Cruise LLC（GM）） ； Northeastern University（东北大学） ； OpenAI（开放人工智能研究所） ； Meta ； University of Washington（华盛顿大学） ； Waymo LLC 纠错

Comments Accepted by CoRL 2025

Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation

Abdulaziz Almuzairee, Rohan Patil, Dwait Bhatt, Henrik I. Christensen

机构 * UC San Diego（圣迭戈大学） 纠错

Comments Accepted at CoRL 2025. For project website and code, see https://aalmuzairee.github.io/mad

Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting

Pierrick Lorang, Hong Lu, Johannes Huemer, Patrik Zips, Matthias Scheutz

机构 * Tufts University, United States（美国塔夫茨大学） ； Austrian Institute of Technology, Austria（奥地利技术研究所） ； Human-Robot Interaction Lab（人机交互实验室） 纠错

Comments Accepted at CoRL 2025; to appear in PMLR

Dynamics-Compliant Trajectory Diffusion for Super-Nominal Payload Manipulation

Anuj Pasricha, Joewie Koh, Jay Vakil, Alessandro Roncone

机构 * Department of Computer Science University of Colorado Boulder（计算机科学系，科罗拉多大学博尔德分校） 纠错

Comments Accepted to 2025 Conference on Robot Learning [CoRL]

Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors

Rafael Cathomen, Mayank Mittal, Marin Vlastelica, Marco Hutter

机构 * ETH Zurich（苏黎世联邦理工学院） 纠错

Comments Accepted to CoRL 2025. For code and videos, please check: https://leggedrobotics.github.io/d3-skill-discovery/

CoRI: Communication of Robot Intent for Physical Human-Robot Interaction

Junxiang Wang, Emek Barış Küçüktabak, Rana Soltani Zarrin, Zackory Erickson

Comments To be published in Proceedings of the 9th Conference on Robot Learning (CoRL). 34 pages, 10 figures

Motion Priors Reimagined: Adapting Flat-Terrain Skills for Complex Quadruped Mobility

Zewei Zhang, Chenhao Li, Takahiro Miki, Marco Hutter

机构 * Department of Mechanical Engineering, EPFL（瑞士联邦理工学院机械工程系） ； ETH AI Center, ETH Zurich（苏黎世联邦理工学院人工智能中心） ； Robotic Systems Lab, ETH Zurich（苏黎世联邦理工学院机器人系统实验室） 纠错

Comments Conference on Robot Learning (CoRL)

Towards Embodiment Scaling Laws in Robot Locomotion

Bo Ai, Liu Dai, Nico Bohlinger, Dichen Li, Tongzhou Mu, Zhanxin Wu, K. Fay, Henrik I. Christensen, Jan Peters, Hao Su

机构 * University of California San Diego（加州大学圣地亚哥分校） ； Hillbot Inc（Hillbot公司） ； Cornell University（康奈尔大学） ； Technical University of Darmstadt（达姆施塔特技术大学） ； German Research Center for AI (DFKI)（德国人工智能研究中心（DFKI）；德国机器人研究所；hessian.AI） ； Robotics Institute Germany ； hessian.AI 纠错

Comments Conference on Robot Learning (CoRL), 2025. Project website: https://embodiment-scaling-laws.github.io/

Rapid Mismatch Estimation via Neural Network Informed Variational Inference

Mateusz Jaszczuk, Nadia Figueroa

Comments Accepted at 9th Annual Conference on Robot Learning. Project Website - https://mateusz-jaszczuk.github.io/rme/

SimShear: Sim-to-Real Shear-based Tactile Servoing

Kipp McAdam Freud, Yijiong Lin, Nathan F. Lepora

机构 * School of Engineering Mathematics and Technology, University of Bristol（工程数学与技术学院，布里斯托尔大学） ； Bristol Robotics Laboratory, University of Bristol（布里斯托尔机器人实验室，布里斯托尔大学） 纠错

Comments 2025 Conference on Robot Learning (CoRL)

Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation

Yiguo Fan, Pengxiang Ding, Shuanghao Bai, Xinyang Tong, Yuyang Zhu, Hongchao Lu, Fengqi Dai, Wei Zhao, Yang Liu, Siteng Huang, Zhaoxin Fan, Badong Chen, Donglin Wang

Comments Accepted to CoRL 2025; Github Page: https://long-vla.github.io

From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity

Luca Grillotti, Lisa Coiffard, Oscar Pang, Maxence Faldor, Antoine Cully

机构 * Adaptive & Intelligent Robotics Lab（智能机器人实验室） 纠错

Comments Accepted at CoRL 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

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； University of Florida（佛罗里达大学） ； Providence College（普罗维登斯学院） ； Florida International University（佛罗里达国际大学） 纠错

Comments Accepted to CoRL 2025 (Conference on Robot Learning)

OPAL: Visibility-aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion

Shuhao Kang, Martin Y. Liao, Yan Xia, Olaf Wysocki, Boris Jutzi, Daniel Cremers

机构 * Technical University of Munich（慕尼黑技术大学） ； Wuhan University（武汉大学） ； University of Science and Technology of China（中国科学技术大学） ； University of Cambridge（剑桥大学） ； Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院） 纠错

Comments Accepted by CoRL 2025

Learning Deployable Locomotion Control via Differentiable Simulation

Clemens Schwarke, Victor Klemm, Joshua Bagajo, Jean-Pierre Sleiman, Ignat Georgiev, Jesus Tordesillas, Marco Hutter

机构 * ETH Zurich（苏黎世联邦理工学院） ； NVIDIA（NVIDIA公司） ； RAI Institute（RAI研究所） ； Georgia Institute of Technology（佐治亚理工学院） ； Comillas Pontifical University（康普顿斯大学） 纠错

Comments Accepted to the 9th Conference on Robot Learning (CoRL 2025), Seoul, Korea

Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids

Kaizhe Hu, Haochen Shi, Yao He, Weizhuo Wang, C. Karen Liu, Shuran Song

机构 * Stanford University（斯坦福大学） 纠错

Comments Accepted to The Conference on Robot Learning (CoRL) 2025

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations

Weikang Wan, Jiawei Fu, Xiaodi Yuan, Yifeng Zhu, Hao Su

机构 * University of California San Diego（加州大学圣地亚哥分校） ； The University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

Comments CoRL 2025

BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities

Yunfan Jiang, Ruohan Zhang, Josiah Wong, Chen Wang, Yanjie Ze, Hang Yin, Cem Gokmen, Shuran Song, Jiajun Wu, Li Fei-Fei

机构 * Stanford University（斯坦福大学） 纠错

Comments 9th Conference on Robot Learning (CoRL 2025), Seoul, Korea. Project website: https://behavior-robot-suite.github.io/

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, Lixin Yang, Weiming Wang, Cewu Lu, Hao-Shu Fang

机构 * Shanghai Jiao Tong University（上海交通大学） ； Noematrix ； Shanghai Innovation Institute（上海创新研究院） 纠错

Comments accepted to CoRL 2025

FetchBot: Learning Generalizable Object Fetching in Cluttered Scenes via Zero-Shot Sim2Real

Weiheng Liu, Yuxuan Wan, Jilong Wang, Yuxuan Kuang, Wenbo Cui, Xuesong Shi, Haoran Li, Dongbin Zhao, Zhizheng Zhang, He Wang

机构 * Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） ； CFCS, School of Computer Science, Peking University（计算机科学系，北京大学） ； Galbot ； Beijing Academy of Artificial Intelligence（北京人工智能研究院） 纠错

Comments 9th Annual Conference on Robot Learning (CoRL 2025, Oral)

UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation

Zhaodong Jiang, Ashish Sinha, Tongtong Cao, Yuan Ren, Bingbing Liu, Binbin Xu

机构 * Huawei Noah’s Ark Lab, Canada（华为诺亚实验室，加拿大） ； University of Toronto, Canada（多伦多大学，加拿大） 纠错

Comments Published at the Conference on Robot Learning (CoRL) 2025. For more details please visit https://frankzhaodong.github.io/UnPose

ScrewSplat: An End-to-End Method for Articulated Object Recognition

Seungyeon Kim, Junsu Ha, Young Hun Kim, Yonghyeon Lee, Frank C. Park

机构 * Seoul National University（首尔国立大学） ； Massachusetts Institute of Technology（麻省理工学院） 纠错

Comments 26 pages, 12 figures, Conference on Robot Learning (CoRL) 2025

In-Context Iterative Policy Improvement for Dynamic Manipulation

Mark Van der Merwe, Devesh Jha

机构 * Department of Robotics, University of Michigan（机器人学系，密歇根大学） ； MERL 纠错

Comments 14 pages. Accepted at CoRL 2025

CaRL: Learning Scalable Planning Policies with Simple Rewards

Bernhard Jaeger, Daniel Dauner, Jens Beißwenger, Simon Gerstenecker, Kashyap Chitta, Andreas Geiger

机构 * University of Tübingen（图宾根大学） ； Tübingen AI Center（图宾根人工智能中心） ； NVIDIA Research（NVIDIA研究） 纠错

Comments Accepted at the Conference on Robot Learning 2025

MimicFunc: Imitating Tool Manipulation from a Single Human Video via Functional Correspondence

Chao Tang, Anxing Xiao, Yuhong Deng, Tianrun Hu, Wenlong Dong, Hanbo Zhang, David Hsu, Hong Zhang

机构 * Southern University of Science and Technology（南方科技大学） ； National University of Singapore（新加坡国立大学） 纠错

Comments Accepted to CoRL 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, Yang Gao

机构 * Tsinghua University（清华大学） ； Shanghai Qi Zhi Institute（上海启智研究所） ； UC Berkeley（加州大学伯克利分校） ； UC San Diego（加州大学圣地亚哥分校） 纠错

Comments CoRL 2025 (Oral Presentation). Project website: https://hub-robot.github.io