1. CageCoOpt: Enhancing Manipulation Robustness through Caging-Guided Morphology and Policy Co-Optimization (IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025)
2. Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation (IEEE Robotics and Automation Letters, 2025)
3. Characterizing Manipulation Robustness through Energy Margin and Caging Analysis (IEEE Robotics and Automation Letters, 2024)
4. Quasi-static Soft Fixture Analysis of Rigid and Deformable Objects (IEEE International Conference on Robotics and Automation, 2024)
Research Experience
PhD student at KTH, working with Prof. Florian T. Pokorny and Xianyi Cheng at Duke.
Education
PhD: KTH Royal Institute of Technology, Advisors: Florian T. Pokorny, Xianyi Cheng; M.Sc.: ETH Zürich; B.Sc.: Shanghai Jiao Tong University.
Background
Research Interests: Exploring the fundamental principles that enable robust manipulation and seeking to achieve human-level robustness in robotic systems. Focus on general object manipulation, including deformable objects, through nonprehensile or tool-based interactions. Combines computational co-design, energy-based caging analysis, and reinforcement learning to develop manipulation strategies that are both robust and generalizable.
Miscellany
Contact: Available via email (yifeid at kth dot se), WeChat (15802191326), or any of the social links above.