Dezhen Xiong

Shenyang Institute of Automation, University of Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Dezhen Xiong is a leading researcher at the intersection of human-robot interaction and biomedical signal processing, with a primary focus on electromyography (EMG)-driven control systems. Their work centers on bridging the gap between laboratory EMG decoding algorithms and real-world robotic applications, particularly in intuitive human-robot-environment interaction. Xiong’s major contributions include pioneering continuous human gait tracking using surface EMG signals—a significant advancement over traditional discrete gait classification—enabling more natural and precise robot control, disease detection, and identity verification. Their 2024 review on intuitive human-robot-environment interaction with EMG signals, which has already garnered 42 citations, provides a comprehensive roadmap for overcoming the persistent challenges in translating EMG research into practical, everyday robotic systems. Additionally, Xiong has developed a novel EMG-driven strategy-assisted shared control method for robotic telemanipulation, enhancing operator autonomy and precision. With a growing citation impact and a clear trajectory toward making human-robot collaboration more seamless and intuitive, Dezhen Xiong is a rising voice in the field, shaping the future of assistive robotics and human-machine interfaces.