The Conference on Robot Learning (CoRL) 2025 is being held from September 27 - 30 in Seoul, South Korea. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford!

List of Accepted Papers

ARCH: Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly

Authors: Jiankai Sun, Aidan Curtis, Yang You, Yan Xu, Michael Koehle, Qianzhong Chen, Suning Huang, Leonidas Guibas, Sachin Chitta, Mac Schwager, Hui Li
Contact: jksun@stanford.edu
Workshop: Main Conference
Links: Paper | Website
Keywords: robotic assembly, long-horizon assembly, hybrid learning

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

Authors: Yunfan Jiang, Ruohan Zhang, Josiah Wong, Chen Wang, Yanjie Ze, Hang Yin, Cem Gokmen, Shuran Song, Jiajun Wu, Li Fei-Fei
Contact: yunfanj@cs.stanford.edu
Workshop: Main Conference
Links: Paper | Blog Post | Video | Website
Keywords: whole-body manipulation, mobile manipulation, household tasks, imitation learning

CUPID: Curating Data your Robot Loves with Influence Functions

Authors: Christopher Agia, Rohan Sinha, Jingyun Yang, Rika Antonova, Marco Pavone, Haruki Nishimura, Masha Itkina, Jeannette Bohg
Contact: cagia@stanford.edu
Workshop: Main Conference
Award nominations: Best Paper Award at the Robotics: Science and Systems (RSS) 2025 Workshop on Robot Evaluation for the Real World
Links: Paper | Video | Website
Keywords: imitation learning, data curation, influence functions

Compliant Residual DAgger Improving Real-World Contact-Rich Manipulation with Human Corrections

Authors: Xiaomeng Xu, Yifan Hou, Chendong Xin, Zeyi Liu, Shuran Song
Contact: yifanhou@stanford.edu
Workshop: Workshop
Award nominations: Spotlight talk
Links: Paper | Website
Keywords: imitation learning, data aggregation, compliance control

Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration

Authors: Tyler Ga Wei Lum, Olivia Y. Lee, C. Karen Liu, Jeannette Bohg
Contact: tylerlum@stanford.edu, oliviayl@stanford.edu
Workshop: Main Conference
Links: Paper | Video | Website
Keywords: dexterous manipulation, reinforcement learning, sim-to-real

DexSkin: High-Coverage Conformable Robotic Skin for Learning Contact-Rich Manipulation

Authors: Suzannah Wistreich*, Baiyu Shi*, Stephen Tian*, Samuel Clarke, Michael Nath, Chengyi Xu, Zhenan Bao, Jiajun Wu
Contact: tians@stanford.edu
Workshop: Main Conference
Award nominations: Oral presentation
Links: Paper | Website
Keywords: tactile sensing, dexterous manipulation

DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation

Authors: Mengda Xu, Han Zhang, Yifan Hou, Zhenjia Xu, Linxi Fan, Manuela Veloso, Shuran Song
Contact: mengdaxu@stanford.edu
Workshop: Main Conference
Award nominations: Best paper award finalist
Links: Paper | Website
Keywords: imitation learning, dexterous manipulation, exoskeleton

Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering

Authors: Muhammad Fadhil Ginting, Dong-Ki Kim, Xiangyun Meng, Andrzej Reinke, Bandi Jai Krishna, Navid Kayhani, Oriana Peltzer, David D. Fan, Amirreza Shaban, Sung-Kyun Kim, Mykel J. Kochenderfer, Ali-akbar Agha-Mohammadi, Shayegan Omidshafiei
Contact: ginting@stanford.edu
Workshop: Main Conference
Links: Paper | Video | Website
Keywords: embodied qa, long-term reasoning, vision-language navigation

Hand-Eye Autonomous Delivery: Learning Humanoid Navigation, Locomotion and Reaching

Authors: Sirui Chen*, Yufei Ye*, Zi-Ang Cao*, Jennifer Lew, Pei Xu, C. Karen Liu
Contact: ericcsr@stanford.edu
Workshop: Main Conference
Links: Paper | Website
Keywords: humanoid, whole body control, navigation

Mobi-Ο€: Mobilizing Your Robot Learning Policy

Authors: Jingyun Yang, Isabella Huang*, Brandon Vu*, Max Bajracharya, Rika Antonova, Jeannette Bohg
Contact: jingyuny@stanford.edu
Workshop: Main Conference
Links: Paper | Website
Keywords: policy mobilization, mobile manipulation, robot learning, robot perception

One Demo is Worth a Thousand Trajectories: Action-View Augmentation for Visuomotor Policies

Authors: Chuer Pan, Litian Liang, Dominik Bauer, Eric Cousineau, Benjamin Burchfiel, Siyuan Feng, Shuran Song
Contact: chuerpan@stanford.edu
Workshop: Main Conference
Links: Paper
Keywords: data augmentation, visuomotor policies, policy robustness, novel view synthesis, trajectory optimization

ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation

Authors: Suning Huang, Qianzhong Chen, Xiaohan Zhang, Jiankai Sun, Mac Schwager
Contact: jksun@stanford.edu
Workshop: Main Conference
Links: Paper | Website
Keywords: world model, multi-object robot interaction

ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation

Authors: Suning Huang, Qianzhong Chen, Xiaohan Zhang, Jiankai Sun, Mac Schwager
Contact: suning@stanford.edu
Workshop: Main Conference
Links: Paper | Blog Post | Video | Website
Keywords: robotic manipulation, learning-based dynamics modeling, modelbased planning and control

Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning

Authors: Milan Ganai, Rohan Sinha, Christopher Agia, Daniel Morton, Luigi Di Lillo, Marco Pavone
Contact: mganai@cs.stanford.edu
Workshop: Main Conference
Award nominations: Oral
Links: Paper | Video | Website
Keywords: multi-modal reasoning, semantic safety, ood reliability

RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models

Authors: Jacky Kwok, Christopher Agia, Rohan Sinha, Matt Foutter, Shulu Li, Ion Stoica, Azalia Mirhoseini, Marco Pavone
Contact: jackykwok@stanford.edu
Workshop: Main Conference
Links: Paper | Website
Keywords: vision-language-action models, test-time scaling, reward learning, imitation learning

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

Authors: Kaizhe Hu*, Haochen Shi*, Yao He, Weizhuo Wang, C. Karen Liu†, Shuran Song†
Contact: hshi74@stanford.edu
Workshop: Main Conference
Links: Paper | Blog Post | Video | Website
Keywords: humanoid robots, sim-to-real adaptation, real-world rl

SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Maps

Authors: Ola Shorinwa, Jiankai Sun, Mac Schwager, Anirudha Majumdar
Contact: jksun@stanford.edu
Workshop: Main Conference
Links: Paper | Website
Keywords: gaussian splatting, multi-robot system

TWIST: Teleoperated Whole-Body Imitation System

Authors: Yanjie Ze, Zixuan Chen, JoΓ£o Pedro AraΓΊjo, Zi-ang Cao, Xue Bin Peng, Jiajun Wu, C. Karen Liu
Contact: yanjieze@stanford.edu
Workshop: Main Conference
Links: Paper | Blog Post | Video | Website
Keywords: humanoid robot, whole-body control

ToddlerBot: Open-Source ML-Compatible Humanoid Platform for Loco-Manipulation

Authors: Haochen Shi*, Weizhuo Wang*, Shuran Song†, C. Karen Liu†
Contact: hshi74@stanford.edu
Workshop: Main Conference
Links: Paper | Blog Post | Video | Website
Keywords: humanoid robots, mechanisms & design, robot modeling & simulation

Vision in Action: Learning Active Perception from Human Demonstrations

Authors: Haoyu Xiong, Xiaomeng Xu, Jimmy Wu, Yifan Hou, Jeannette Bohg, Shuran Song
Contact: haoyux.me@gmail.com
Workshop: Main Conference
Links: Paper | Blog Post | Video | Website
Keywords: active perception, bimanual manipulation, imitation learning, teleoperation systems

We look forward to seeing you at CoRL 2025!