Shengcheng Luo | 罗盛成

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Photo credit to Haoyang at Atlanta.

I am an incoming Ph.D. candidate at ShanghaiTech University SIST(School of Information Science and Technology) and the Beijing Institute for General Artificial Intelligence (BIGAI), co-supervised by Prof. Chenxi Xiao and Prof. Ziyuan Jiao.

I hold a B.Sc. from ShanghaiTech and a M.Sc. from University of Aizu under Prof. Yong Liu’s supervision, and previously spent two years at Shanghai Jiao Tong University’s MVIG Group working with Prof. Cewu Lu.

I’m particularly interested in the intersection of robotics and AI, my research focuses on dexterous manipulation, tactile sensing, and end-effector design to enable robots to interact with the physical world with human-like precision and adaptability. My contributions have been recognized with Best Paper Finalist and Best Paper on Human-Robot Interaction of ICRA(IEEE International Conference on Robotics and Automation).

I welcome collaborations with researchers and industry partners passionate about dexterous manipulation and haptic systems, particularly those interested in transforming lab research into real-world applications through prototype development or industrial problem-solving - feel free to reach me!

news

Apr 24, 2025 Our paper “Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition” has been selected as best paper award on Human-Robot Interaction and best paper finalist for main conference by ICRA 2025!
Jan 28, 2025 Our paper “Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition” has been accepted by ICRA 2025.
Jul 01, 2024 Our paper “DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-Level Control” has been accepted by ECCV 2024.

selected publications

  1. ICRA 2025
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    Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition
    Shengcheng Luo*, Quanquan Peng*, Jun Lv*, Kaiwen Hong, Katherine Rose Driggs-Campbell, Cewu Lu, and Yong-Lu Li
    In International Conference on Robotics and Automation, 2025
  2. ECCV 2024
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    DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-Level Control
    Xinyu Xu, Shengcheng Luo, Yanchao Yang, Yong-Lu Li, and Cewu Lu
    In European Conference on Computer Vision, 2024
  3. ACM MM 2021
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    Syntropic Counterpoints: Metaphysics of The Machines
    Predrag K Nikolic, Ruiyang Liu, and Shengcheng Luo
    In Proceedings of the 29th ACM International Conference on Multimedia, 2021