Papers
8
Total Citations
60
H-Index
4
About
Xingyuan Zhou is a leading researcher in the field of physical human-robot interaction (pHRI), with a primary focus on personalizing wearable robotic systems and understanding the biomechanics of human-robot collaboration. His work uniquely bridges nonlinear control theory and human physiology, introducing the concept of “Biomechanical Excess of Passivity” (EoP) to characterize how the human upper limb absorbs energy during interaction. This foundational insight has led to the development of the “MyoPassivity Map,” a tool that correlates multi-channel sEMG signals with the energetic behavior of the arm, enabling more transparent and less conservative pHRI controllers. Zhou’s contributions extend to practical personalization frameworks. He has pioneered Human-in-the-loop optimization for ankle-foot prostheses, demonstrating that tailoring ankle stiffness can significantly reduce metabolic cost for individuals with below-knee amputation (25 citations). He has also developed an open-source framework for personalizing wearable devices using real-time physiological measures (16 citations), making advanced adaptation accessible to the broader research community. His recent work on variable structure passivity control for robot-mediated human-human interaction and human-drone collaboration in constrained environments showcases his versatility. With over 60 total citations across his most-cited papers, Zhou is recognized for systematically advancing both the theoretical foundations and practical applications of safe, efficient, and personalized human-robot interaction.
Research Focus
Key Achievements
Top Papers
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