Papers
2
Total Citations
9
H-Index
2
About
Ming-Chan Lee is a researcher specializing in rehabilitation robotics, wearable sensing technologies, and intelligent control systems, with a focus on advancing mobility assistance for individuals with lower limb impairments. Lee's work centers on the development of sophisticated robotic exoskeletons and the innovative sensors that power them, bridging the gap between biomechanics, materials science, and control engineering. Among Lee's most notable contributions is the development of the Lower Limb Robotic Exoskeleton (LLRE-II), a system designed to intelligently detect and respond to human gait phases in real time. By integrating piezoresistive tactile sensors (PRTS) capable of measuring foot pressure with fuzzy logic control algorithms, Lee demonstrated a practical and effective approach to classifying gait phases during walking — a critical challenge in exoskeleton design. This 2022 work has already attracted 6 citations, reflecting its relevance to the field. Building on this foundation, Lee's 2025 study advances the technology further by embedding near-field electrospinning (NFES) piezoelectric sensors directly into robotic orthosis insoles, enhancing both sensitivity and system integration. With a growing body of work accumulating citations across robotics and rehabilitation engineering communities, Lee represents an emerging and impactful voice in assistive technology research.
Research Focus
Key Achievements
Top Papers
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