Yinghan Chen

I am currently a second-year undergraduate student at the Department of Computer Science and Technology, University of Cambridge, supported by Jardine Scholarship. In parallel, I am completing a dual-degree B.Sc. in General Artificial Intelligence in the Tong Class at Yuanpei College, Peking University. I work closely with the CoRe Lab at PKU Institute for Artificial Intelligence, advised by Dr. Yixin Zhu.

My research lies at the intersection of robot learning, physics-based simulation, grasping and 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 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 finesse, ultimately enabling robots to assist humans in everyday, unstructured environments.

News

  • [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.