Hangming Zheng

University of Electronic Science and Technology of China

Papers

Total Citations

H-Index

About

Hangming Zheng is a leading researcher in robotic exoskeleton control, with a primary focus on human-robot interaction and assistive technologies. His most cited work, "Fuzzy-based impedance regulation for control of the coupled human-exoskeleton system" (2014, 34 citations), addresses a critical challenge in the field: the difficulty of determining optimal impedance parameters for seamless interaction between humans and exoskeletons. By introducing a fuzzy logic approach to dynamically regulate impedance, Zheng's contribution enables more intuitive and adaptive control, reducing the complexity of parameter tuning while improving motion and force coordination. This work has been foundational for researchers developing wearable robots for performance enhancement and rehabilitation. Additionally, his study on "Master-slave control strategy of lower extremity exoskeleton robot" (2014) presents a novel control algorithm for the 'PRMI exoskeleton,' demonstrating his hands-on involvement in hardware implementation and system design. Though early in his career, Zheng's innovative integration of fuzzy logic with impedance control has established him as a promising figure in exoskeleton robotics, with his work cited by peers exploring adaptive human-robot systems. His research continues to influence the development of more responsive and user-friendly assistive devices.