Yinghan Chen
I am currently a fourth-year undergraduate student at Peking University, pursuing a B.Sc. in General Artificial Intelligence in the Tong Class, an honors program at Yuanpei College. I work closely with the CoRe Lab at PKU Institute for Artificial Intelligence, advised by Dr. Yixin Zhu. I am also a visiting student at the University of Cambridge and a research intern at the TML Lab at Stanford University, supervised by Prof. Karen Liu.
My research lies at the intersection of robot learning, dexterous manipulation, and multimodal perception. I am broadly interested in enabling embodied agents to understand physical structures, reason about dynamics, and perform dexterous manipulation through integrated multimodal sensing. My recent work spans visual–tactile sensing and learning, bimanual manipulation, tool-use and design, and differentiable simulation. I have published or submitted papers to top venues in robotics and embodied AI including RA-L, IROS and CoRL, and I hope to continue probing the deeper principles underlying intelligent robotic systems!
My long-term goal is to develop general-purpose robotic intelligence capable of perceiving, planning, and acting in the physical world with human-level adaptability and dexterity, ultimately enabling robots to assist humans in everyday, unstructured environments.
News
- Sep 2026 We have open-sourced HOT: Robot Tool Design from Scratch via Behavior-Aware Hierarchical Optimization, a framework that jointly designs tool structure, shape, and action from scratch.
- Jul 2026 TacThru received a Runner-up Award at the R:SS 2026 Workshop on Tactile Sensing for Robotic Foundation Models.
- Jul 2026 I received the Dean’s Scholarship (Special Award) from the Institute for Artificial Intelligence, Peking University.
- Jun 2026 I received the Academic Rising Star Award, an undergraduate research honor from Yuanpei College, Peking University.
- May 2026 I was awarded a Beijing Natural Science Foundation “Qiyan” Undergraduate Research Grant.
- Mar 2026 Our research TacThru is accepted by RA-L 2026.
- Feb 2026 Honored to announce that I will be joining the Movement Lab at Stanford University as a summer intern.
- Dec 2025 We have open-sourced the TacThru project.
- Aug 2025 Our research ControlVLA is accepted by CoRL 2025.
- Jun 2025 Our research Ag2x2 is accepted by IROS 2025 as an oral presentation.
- Feb 2025 Our research ControlVLA (formerly ControlManip) is accepted by WRL (7th Robot Learning Workshop) @ ICLR 2025.
- Feb 2025 I have received Soong Ching-ling Scholarship.
- Jan 2024 I have received Jardine Scholarship.
