研究
论文、项目资助、合作与学生指导工作。
真实世界机器人高度依赖稳健的系统工程,以支持各子模块之间的信息处理与通信。这些子模块既可独立工作,也可协同决策,从而控制机器人本体完成特定任务。我的研究重点包括:
- 3D 感知与行动:机器人如何感知、理解并与三维世界交互,以完成用户定义的任务?
- 自主与韧性系统工程:自主系统如何通过编写代码持续自我提升,从而理解并控制不同本体、环境与任务?
- 安全性:如何避免机器人误解用户意图并执行危险动作?
欢迎浏览项目展示页面,了解我在学习/物理驱动的刚体与可变形物体操作方面的过往项目。
代表性论文
- A Human-Guided Agentic Engineering Approach for Iterative Synthesis and Refinement of Cross-embodiment Robotic Manipulation Skill Structures. 撰写中
- DDBot: Differentiable Physics-Based Digging Robot for Unknown Granular Materials. IEEE Transactions on Robotics, 2025
- Differentiable Physics-based System Identification for Robotic Manipulation of Elastoplastic Materials. The International Journal of Robotics Research, 2025
- GAM: General Affordance-Based Manipulation for Contact-Rich Object Disentangling Tasks. Neurocomputing, 2024
- Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective. IEEE Transactions on Cognitive and Developmental Systems, 2023
- Hierarchical Reinforcement Learning with Universal Policies for Multi-Step Robotic Manipulation. IEEE Transactions on Neural Networks and Learning Systems, 2021
研究资助与参与项目
- Cardiff-Xiamen Collaboration Fund
- PHYDL: 面向可变形和颗粒材料操作的物理引导可微分学习
- Almond: Autonomous Laboratory for Molecular Discovery
合作学者
- Ze Ji - Reader, Cardiff University
- Yu-Kun Lai - Professor, Cardiff University
- Oliver Castell - Reader, Cardiff University
- Jin Li - Lecturer, Cardiff University
- Jing Wu - Cardiff University
- Seyed Amir Tafrishi - Lecturer, Cardiff University
学生指导
- Minglun Wei - 联合指导博士生,卡迪夫大学(在读)— 可变形物体操作
- Boliang Cai - 联合指导博士生,现为 Loughborough University 研究助理 — 自动驾驶