Shiguo Peng

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About

Shiguo Peng is a leading researcher in rehabilitation robotics, with a focused expertise in the control and trajectory optimization of lower limb exoskeleton systems. His work directly addresses critical challenges in assistive technology for individuals with lower limb movement disorders. Peng’s major contributions center on developing advanced control strategies to enhance gait tracking accuracy and stability. He pioneered a method integrating PD control with gravity compensation, significantly reducing trajectory tracking errors in wearable exoskeletons (8 citations). More recently, he introduced an innovative event-triggered sliding mode impulsive control framework for lower limb rehabilitation exoskeletons, a breakthrough that minimizes adverse effects on gait tracking during dynamic walking (6 citations). His research bridges theoretical control engineering with practical rehabilitation applications, offering safer and more responsive assistive devices. Peng’s work is particularly notable for addressing the real-time challenges of human-robot interaction, ensuring that exoskeletons adapt smoothly to a user’s natural movement. With a growing citation impact, his contributions are shaping the next generation of intelligent rehabilitation robots, promising improved mobility and quality of life for patients with motor impairments.