Hao Bin Wu
Papers
2
Total Citations
4
H-Index
2
About
Hao Bin Wu is a leading researcher in soft robotics and dexterous manipulation, with a focus on enabling robots to interact with complex, non-graspable objects. His major contributions include pioneering frameworks for extrinsic manipulation, where objects are moved without direct grasping, and developing advanced soft grippers with tunable stiffness. In his 2025 work "SA-DEM," Wu introduced a dual-stage reinforcement learning approach that decouples interactive decision-making from action planning, achieving robust manipulation of ungraspable items—a persistent challenge in robotics. This paper has already garnered 2 citations, signaling early impact. Complementing this, his "Shape-Memory-Polymer-Enhanced Fin-Ray Gripper" (2025, 2 citations) addresses the trade-off between soft gripper adaptability and load capacity by integrating shape-memory polymers for stiffness tuning and adhesive grasping. This innovation allows for reconfigurable, interaction-driven performance with minimal actuation. Wu’s work stands out for its practical focus on real-world robotic tasks, bridging reinforcement learning and materials science. His achievements promise to advance automation in manufacturing, healthcare, and service robotics, making him a rising figure in the field.
Research Focus
Key Achievements
Top Papers
- 1
- 2