Research

* equal contribution   ✉ corresponding author

Preprints

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

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

Yuyang LiLeiyao Cui     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.

Preprint 2025

Publications

Teaser for TacMan-Turbo: Proactive Tactile Control for Robust and Efficient Articulated Object Manipulation

TacMan-Turbo: Proactive Tactile Control for Robust and Efficient Articulated Object Manipulation

Zihang ZhaoZhenghao QiYuyang Li   Leiyao Cui   Zhi Han ✉  Lecheng Ruan ✉  Yixin Zhu ✉ 

A proactive tactile control framework for articulated object manipulation.

IEEE Transactions on Automation Science and Engineering (T-ASE) 2026
Teaser for RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning

RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning

Haoran GengFeishi WangSonglin WeiYuyang Li                 Yiran Geng                               Baoxiong Jia     Hao Dong   Siyuan Huang     Yue Wang   Jitendra Malik   Pieter Abbeel  

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

Robotics: Science and Systems (R:SS) 2025 2025
Teaser for PreAfford: Affordance-based Pre-grasping across Objects and Scenes

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.

IROS 2024, oral pitch presentation 2024
Teaser for Embedding high-resolution touch across robotic hands enables adaptive human-like grasping

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

Zihang ZhaoWanlin LiYuyang LiTengyu LiuBoren Li   Meng Wang   Kai Du   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.

Nature Machine Intelligence 2025
Teaser for ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning

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.

CVPR 2025 2025