Tianhao Wu   |   吴天昊

I have been a Ph.D. student since 2021 in the Center on Frontiers of Computing Studies (CFCS) at the School of Computer Science at Peking University, advised by Prof. Hao Dong. I'm also a research intern at Beijing Academy of Artificial Intelligence (BAAI).

My research interest lies in robot learning, especially dexterous hand manipulation.

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News

  • [2023/09] NEW One paper gets accepted to NeurIPS 2023
  • Publications

    * indicates equal contribution.

    GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
    Tianhao Wu*,Mingdong Wu*, Jiyao Zhang, Yunchong Gan, Hao Dong
    Neural Information Processing Systems (NeurIPS), 2023
    paper link / project page / code /
    Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
    Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-chun Zhu, Yaodong Yang
    Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks, 2022
    paper link / project page / code /

    DREDS: Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects
    Qiyu Dai*, Jiyao Zhang*, Qiwei Li, Tianhao Wu, Hao Dong, Ziyuan Liu, Ping Tan, He Wang
    European Conference on Computer Vision (ECCV), 2022
    paper link / project page / code /

    GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning
    Tianhao Wu*, Fangwei Zhong*, Yiran Geng, Hongchen Wang, Yongjian Zhu, Yizhou Wang, Hao Dong
    Arxiv, 2022
    paper link /

    RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment
    Mingxin Yu*, Lin Shao*, Zhehuan Chen, Tianhao Wu, Qingnan Fan, Kaichun Mo, Hao Dong
    Arxiv, 2022
    paper link / project page /

    VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D Articulated Objects
    Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas Guibas, Hao Dong
    International Conference on Learning Representations (ICLR), 2022
    paper link / project page / code

    Services

  • Reviewer: CVPR(2023), NeurIPS(2023), ICLR(2024)