Papers
13
Total Citations
343
H-Index
9
About
Zhenghong Li is a pioneering researcher at the intersection of robotics, biomechanics, and intelligent control systems. His work spans three transformative domains: human-robot interaction through EMG-driven musculoskeletal modeling, soft robotics with variable stiffness actuators, and autonomous multi-agent systems. Li's landmark 2020 study on EMG-driven models for continuous wrist motion estimation (88 citations) established a paradigm for assistive robotics, enabling intuitive human-machine interfaces through biological signal processing. His innovations in lightweight series elastic actuators with variable stiffness (38 citations) address critical challenges in safe human-robot collaboration, while his distributed collision-free coordination algorithms for multi-UAV systems (31 citations) advance autonomous swarm operations under real-world constraints like actuator faults and time delays. Li's research demonstrates remarkable breadth, from flexible strain-sensing networks for wearable microclimate monitoring (61 citations) to YOLO-based agricultural robotics for real-time crop detection (29 citations). His contributions to compliant rehabilitation robotics and soft gel actuation further underscore his commitment to translating theoretical advances into practical solutions. With over 335 total citations across his most influential works, Li continues to shape the future of intelligent robotic systems, bridging control theory, machine learning, and mechanical design.
Research Focus
Key Achievements
Top Papers
- 1An EMG-Driven Musculoskeletal Model for Estimating Continuous Wrist Motion88 citations · 2020
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- 6Distributed nonlinear Kalman filter with communication protocol29 citations · 2019
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