Zhuoping Duan
Papers
1
Total Citations
9
H-Index
1
About
Zhuoping Duan is a leading researcher in bio-inspired robotics and human-robot interaction, with a particular focus on exoskeletal robot control and human locomotion prediction. His most-cited work, "Bio-Inspired Real-Time Prediction of Human Locomotion for Exoskeletal Robot Control" (2017, 9 citations), addresses a critical challenge in assistive robotics: the inherent delay in inertial measurement unit-based motion capture systems. By developing a bio-inspired predictive framework, Duan's research enables exoskeletal robots to anticipate human movement in real time, significantly improving the responsiveness and safety of human-robot coupled systems. This contribution is foundational for advancing rehabilitation robotics and wearable assistive devices, where seamless coordination between human intent and machine action is essential. Duan's work bridges biomechanics, control theory, and artificial intelligence, offering practical solutions for enhancing mobility in individuals with motor impairments. His research has influenced subsequent studies on adaptive exoskeleton control and human motion prediction, establishing him as a key figure in the field of bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
- 1