Papers
8
Total Citations
142
H-Index
5
About
Jiangping Hu is a leading researcher in the fields of rehabilitation robotics, human-robot interaction, and intelligent control systems, with a particular focus on lower limb exoskeleton technology. His major contributions center on developing advanced control strategies that enhance the safety, adaptability, and performance of exoskeleton robots for rehabilitation and assistive applications. Hu pioneered the use of event-triggered critic learning and hierarchical optimal control methods to achieve precise motion tracking and impedance control under prescribed constraints, as demonstrated in his most cited work (94 citations). He also introduced innovative approaches such as negative-stiffness structure vibration isolation and force estimation-based adaptive impedance control to address challenges like low-frequency vibrations and sensor limitations in real-world environments. Beyond exoskeletons, Hu has explored hand gesture-based control for mobile robots and neural quantized obstacle avoidance for unmanned surface vehicles, showcasing his versatility. With multiple highly cited papers from 2021 to 2024, his research has significantly advanced the practical deployment of exoskeletons in rehabilitation, earning recognition for its impact on human-robot interaction and safety-critical control systems.
Research Focus
Key Achievements
Top Papers
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- 2Hand gesture based control strategy for mobile robots12 citations · 2017
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