Papers
8
Total Citations
91
H-Index
4
About
Ping Shi is a leading researcher in rehabilitation robotics and human-robot interaction, with a focus on restoring motor function and improving quality of life for individuals with neurological impairments and age-related disabilities. Their work spans upper and lower limb exoskeletons, virtual reality (VR) rehabilitation training, and assistive robots for daily living. A major contribution is the integration of multi-sensory feedback—combining force-haptic, visual, and auditory cues—to enhance cortical activation during robot-assisted therapy, as demonstrated in a 2023 fNIRS-based pilot study (24 citations). Shi has also advanced human intent understanding and compliance control for lower limb exoskeletons, a critical step toward intuitive human-machine collaboration (16 citations). Notably, their 2018 work on a VR rehabilitation system for upper limb exoskeletons (23 citations) and a feeding assistive robot (17 citations) address pressing needs in stroke recovery and elder care. More recently, Shi has pioneered a novel 6-DOF abdominal massage robot to standardize constipation relief (2025, 4 citations), showcasing innovation in medical robotics. With over 90 total citations, Shi’s research bridges engineering and clinical application, offering scalable solutions for rehabilitation and assistive technology.
Research Focus
Key Achievements
Top Papers
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- 3Development a feeding assistive robot for eating assist17 citations · 2017
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