Nenggang Xie
Papers
8
Total Citations
58
H-Index
4
About
Nenggang Xie is a leading researcher at the intersection of rehabilitation robotics, bio-signal processing, and intelligent control systems. His work primarily focuses on developing advanced robotic systems for medical rehabilitation, particularly lower limb motion recognition and multi-posture rehabilitation robots. Xie's most impactful contribution is his innovative approach to lower limb motion recognition using surface electromyography (sEMG) signals, which has been experimentally validated on novel rehabilitation robots—a paper that has garnered 19 citations. He is also recognized for pioneering path planning methods for mobile robots using ant colony optimization algorithms (18 citations), demonstrating his versatility in both medical and industrial robotics. Xie has developed sophisticated neural network-based control systems, including gravitational search algorithm and differential evolution neural network for demolition robots, and fractional-order PID controllers for rehabilitation robots. His notable achievements include creating a wireless wearable acquisition instrument for real-time rehabilitation training and applying game theory to multi-robot flocking tasks. With a research portfolio spanning from bio-signal pattern recognition to multi-objective optimization algorithms, Xie's work continues to advance the fields of medical robotics and intelligent control systems.
Research Focus
Key Achievements
Top Papers
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- 6Flocking task research for multiple mobile robots based on game theory3 citations · 2008
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- 8Multi-objective squirrel search algorithm for EEG feature selection2 citations · 2023