Yue-Peng Zhang

Shenzhen University, Shenzhen Institute of Information Technology

Papers

Total Citations

130

H-Index

About

Dr. Yue-Peng Zhang is a leading researcher in the field of human-robot interaction, with a primary focus on lower limb exoskeleton robots and rehabilitation robotics. His work centers on solving the critical challenge of enabling natural, intuitive, and safe human-robot collaboration. Dr. Zhang’s major contributions include comprehensive reviews on human motion intention recognition and interactive control for exoskeletons, which have become foundational references in the field, with his 2023 review garnering 57 citations and his 2024 review reaching 50 citations. He has also pioneered advanced machine learning techniques, such as a domain-adaptive convolutional neural network for sEMG-based gait phase recognition, addressing the practical problem of adapting to changing walking speeds. Beyond exoskeletons, Dr. Zhang has contributed to the reliability of industrial robotics through a review on fault diagnosis methods for manipulator robots. His work is highly impactful, providing essential frameworks for researchers and engineers developing the next generation of assistive and rehabilitation technologies. Dr. Zhang’s research is instrumental in bridging the gap between human intent and robotic action, promising more effective and safer human-robot systems.