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About

Jiancheng Ji is a robotics and rehabilitation engineering researcher whose work spans human-robot interaction, assistive technologies, and agricultural automation. With a career marked by consistent innovation at the intersection of mechanical design and intelligent control, Ji has made particularly significant contributions to lower limb rehabilitation robotics, developing novel systems for stroke survivors that address gait training, balance restoration, and fall prevention. His iterative learning impedance control methods and pelvic support walking robots reflect a deep commitment to improving patient outcomes through sophisticated engineering solutions, accumulating over 100 citations across his body of work. Beyond rehabilitation, Ji has expanded his research portfolio into emotion recognition for human-robot interaction, employing deep ensemble classification techniques to advance affective computing in intelligent systems. His work on an omni-directional robotic walker (19 citations) and a mushroom-harvesting robot (29 citations) demonstrates a versatile research vision that bridges clinical rehabilitation and real-world automation challenges. His industrial contributions include process parameter optimization for mobile robotic riveting systems, highlighting his breadth across both medical and manufacturing domains. Collectively, Ji's research addresses pressing societal needs — aging populations, labor shortages, and accessible rehabilitation — positioning him as a multifaceted contributor to applied robotics with meaningful real-world impact.