Our Research Focus

• Reinforcement Learning for High Dexterity: Achieving human-level dexterous manipulation and dynamic physical interaction by leveraging advanced Reinforcement Learning algorithms to master complex contact-rich tasks.

• Generative AI & VLA for Manipulation: Enhancing generalized manipulation capabilities through multi-modal (Vision-Language-Action) frameworks, specifically focusing on data efficiency and novel acquisition methodologies for robust imitation learning.

• System Architecture & Applications: Designing Hard Real-Time control systems for precise actuation and advancing minimally invasive Medical Robotics.