Research


* equal contribution   ✉ corresponding author

Preprints

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★ Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation

Yuyang LiPuhao Li   Zihang Zhao   Tengyu Liu   ✉  Yixin Zhu ✉  Siyuan Huang ✉ 

Taccel is a high-performance GPU-based simulator, combining ABD and IPC, for simulating robots with vision-based tactile sensors.

Paper Code Website / Docs Video

Preprint

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Afford-X: A Generalizable and Slim Affordance Reasoning Framework for Task-oriented Manipulation

Yuyang Li     Huan-ang Gao   Yixin Zhu ✉  Hao Zhao ✉ 

We develop Afford-X, an end-to-end trainable affordance reasoning model that incorporates Verb Attention and Bi-Fusion modules to improve multi-modal understanding. We showcase Afford-X's effectiveness in enabling task-oriented manipulations for robots across various tasks and environments, underscoring its efficiency and broad implications for advancing robotics and AI systems in real-world applications.

arXiv Code Video Website

Preprint

Publications

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★ Embedding high-resolution touch across robotic hands enables adaptive human-like grasping

Zihang ZhaoWanlin LiYuyang LiTengyu LiuBoren Li   Meng Wang     Hangxin Liu ✉  Yixin Zhu ✉  Qining Wang   Kaspar Althoefer ✉  Song-Chun Zhu  

We design F-TAC Hand, a five-finger biomimetic hand featuring high-resolution tactile sensing across the hand. This design enables adaptive human-like grasping and unlocks more capabilities.

arXiv Code Website Video 人民日报 新华网 中国新闻网 光明网 TechXplore 中国科技网 中国科学报 北大新闻网 北大新工科 北大AI院官微 北大AI院官网

Nature Machine Intelligence

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RoboVerse

Haoran GengYuyang Li                 Yiran Geng                                   Hao Dong   Siyuan Huang          

A comprehensive framework comprising a simulation platform, a synthetic dataset, and unified benchmarks.

Paper Code Website Docs

Robotics: Science and Systems (R:SS) 2025

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★ Tac-Man: Tactile-Informed Prior-Free Manipulation of Articulated Objects

Zihang ZhaoYuyang LiWanlin Li   Zhenghao Qi   Lecheng Ruan ✉  Yixin Zhu ✉  Kaspar Althoefer  

A prior-free method for articulated object manipulation, based on tactile pattern from GelSight-inspired sensors.

Website arXiv PDF Code Video

IEEE Transactions on Robotics (T-RO)

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ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning

  Puhao Li   Tengyu Liu   Yuyang Li   Siyuan Huang ✉ 

A novel two-stage method for efficiently transferring human bimanual skills to dexterous robotic hands in simulation.

Website arXiv Code Data

CVPR 2025

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Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations

Puhao LiTengyu LiuYuyang Li   Muzhi Han   Haoran Geng   Shu Wang   Yixin Zhu   Song-Chun Zhu   Siyuan Huang ✉ 

Learning novel manipulation skills with agent-agnostic value and action representations.

Website arXiv PDF Code Video Poster

IROS 2024, oral pitch presentation

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PreAfford: Affordance-based Pre-grasping across Objects and Scenes

    Yuyang Li     Huan-ang Gao     Yixin Zhu   Guyue Zhou   Hao Dong   Hao Zhao ✉ 

A universal pre-grasping manipulation framework using affordance representation.

Website arXiv PDF Video Poster

IROS 2024, oral pitch presentation

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★ Grasp Multiple Objects with One Hand

Yuyang Li   Bo Liu   Yiran Geng   Puhao Li   Yaodong Yang   Yixin Zhu   Tengyu Liu ✉  Siyuan Huang ✉ 

We propose MultiGrasp, a two-stage framework for simultaneous multi-object grasping with multi-finger dexterous hands. In addition, we contribute Grasp'Em, a large-scale synthetic multi-object grasping dataset.

Website arXiv PDF Code Data Video

IEEE Robotics and Automation Letter (RA-L) | IROS 2024, oral presentation

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GenDexGrasp: Generalizable Dexterous Grasping

Puhao LiTengyu LiuYuyang Li   Yiran Geng   Yaodong Yang   Yixin Zhu   Siyuan Huang ✉ 

We propose GenDexGrasp, a versatile dexterous grasping method that can generalize to out-of-domain robotic hands. In addition, we contribute MultiDex, a large-scale synthetic dexterous grasping dataset.

Website arXiv PDF Code

ICRA 2023