Xiaobo Jiang

Papers

Total Citations

H-Index

About

Xiaobo Jiang is a leading researcher in rehabilitation robotics, specializing in hybrid systems that integrate soft actuators with functional electrical stimulation (FES) to restore motor function in stroke survivors. His work centers on developing intelligent, low-cost exoskeletons that combine pneumatic artificial muscles (PAMs) with FES arrays to enable natural, coordinated movements like reach-to-grasp tasks—critical for daily living. In his highly cited 2017 paper (31 citations), Jiang introduced a novel upper-limb rehabilitation robot that addresses the challenge of high arm flexor stiffness in stroke patients, offering a portable, lightweight alternative to traditional rigid exoskeletons. His follow-up work on iterative learning control (27 citations) demonstrated how adaptive algorithms can precisely coordinate PAM-driven assistance with FES-induced muscle activation, creating a seamless hybrid rehabilitation system. These contributions have significantly advanced the field of neurorehabilitation by merging biomechatronics with closed-loop control, providing new pathways for personalized, home-based therapy. Jiang’s research continues to shape how robotic systems can intelligently collaborate with the human body, offering hope for more effective, accessible stroke rehabilitation.