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About

Huanfeng Peng is a leading researcher in rehabilitation robotics, with a focused expertise in adaptive compliance control for wearable lower limb rehabilitation robots. His work addresses the critical challenge of ensuring safe and effective physical human-robot interaction for hemiplegic patients recovering motor function. Peng’s major contributions include pioneering trajectory deformation-based multi-modal adaptive compliance control (TD-MACCS), which dynamically adjusts robot behavior to meet varying rehabilitation needs, and developing spatiotemporal compliance control strategies that enhance both safety and comfort during therapy. His research also tackles dynamic uncertainties from human-robot coupling through triple-step controllers with linear active disturbance rejection control, and introduces adaptive fractional-order admittance models to improve reference position tracking. With his most cited paper accumulating 19 citations in just two years, Peng’s work is gaining rapid recognition in the field. His innovative control strategies are instrumental in advancing the next generation of rehabilitation robots, making therapy more adaptive, safe, and personalized for patients recovering from neurological injuries.