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About

Ming Pi is a robotics and rehabilitation engineering researcher whose work sits at the intersection of human-robot interaction, assistive technology, and intelligent control systems. His research focuses primarily on powered exoskeletons, robotic prostheses, and biped robot control, with a particular emphasis on developing adaptive, biologically inspired frameworks that restore and enhance motor function for individuals with physical impairments. Pi's most influential contribution is his 2019 work on a hybrid brain-computer interface and muscle signal-driven walking exoskeleton (146 citations), which demonstrated remarkable promise for improving daily activities such as stair climbing for those requiring robotic assistance. This landmark study exemplifies his broader mission of fusing neuroscience-driven sensing with robust mechanical control. Across his prosthetics research, he has pioneered neuromuscular models, human-in-the-loop optimization, and game-theory-based collaborative control strategies that prioritize wearer comfort and tissue safety — addressing real clinical challenges faced by amputees. Pi has also made meaningful contributions to biped robot balance through adaptive time-delay estimation techniques and has extended his expertise to autonomous industrial robotics for power substation maintenance. With a growing citation record and a consistent publication trajectory from 2019 to 2025, Ming Pi represents an emerging voice in intelligent rehabilitation robotics whose work continues to bridge fundamental control theory with tangible human benefit.