Daewon Choi is a Ph.D. student in robotics at Hanyang University.
Interested in how robots perceive their surroundings and decide what to do.

  1. 01 Robot Action from Video Learning robust control policies directly from human demonstration videos to acquire complex behaviors without structured datasets.
  2. 02 Dexterous Hand Developing highly articulate robotic end-effectors for fine motor control, tactile sensing, and dynamic grasping of varied objects.
  3. 03 Bimanual Manipulation Advanced coordination algorithms for dual-arm systems to solve tasks requiring simultaneous holding, assembly, or handover.
  4. 04 Scene Understanding Semantic and spatial interpretation of environments using multi-modal perception to build actionable 3D maps for navigation.
  5. 05 Task Planning Decomposing natural language instructions into actionable robotic sequences, bridging the gap between LLMs and physical execution.
Daewon Choi