Papers
2
Total Citations
68
H-Index
2
About
Hao Lee is a leading researcher in wearable robotics and assistive exoskeleton systems, with a primary focus on lower limb technologies. His work addresses critical challenges in human-robot interaction, particularly the development of energy-efficient, compliant actuation systems for rehabilitation and mobility assistance. Lee’s highly cited overview, "Lower Limb Exoskeleton Systems—Overview" (2019, 65 citations), provides a foundational synthesis of design principles, control strategies, and clinical applications, establishing him as a key voice in the field. His recent research introduces a novel approach to energy reduction in wearable pneumatic valve systems, combining sparse identification of nonlinear dynamics (SINDy) with time-variant model predictive control. This work tackles the longstanding inefficiencies of pneumatic actuation—which offers high force-to-weight ratio and natural compliance but suffers from poor energy economy and precision—by enabling adaptive, predictive control that recycles wasted energy during movement. Lee’s contributions are shaping the next generation of lightweight, efficient exoskeletons for both clinical and industrial use, bridging the gap between theoretical control advances and practical wearable systems.
Research Focus
Key Achievements
Top Papers
- 1Lower Limb Exoskeleton Systems—Overview65 citations · 2019
- 2