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About

Cheng Zeng is a robotics researcher specializing in human-robot interaction, rehabilitation robotics, and intelligent control systems. His work focuses on developing advanced control algorithms for collaborative robots and exoskeleton systems, with particular emphasis on physical human-robot interaction and trajectory planning. Zeng's major contributions include a trajectory tracking control method for 7-DOF redundant robots that estimates human intention during physical interaction (12 citations), enabling safer and more intuitive collaboration between humans and robots in applications ranging from manufacturing to healthcare. He also developed an innovative isokinetic rehabilitation trajectory planning approach for upper extremity exoskeleton robots using a multistrategy improved whale optimization algorithm (11 citations), significantly enhancing rehabilitation outcomes for patients. His research bridges the gap between theoretical control methods and practical robotic applications, addressing critical challenges in assistive robotics. Zeng's work has particular relevance for rehabilitation engineering, where his trajectory planning algorithms improve patient recovery through more adaptive and personalized robotic assistance. His contributions continue to influence the development of safer, more responsive robotic systems for human interaction.