Papers
9
Total Citations
84
H-Index
6
About
Ming-Yih Lee is a versatile robotics and biomedical engineering researcher whose work spans surgical robotics, autonomous systems, wearable sensing, and mechanism design. Over three decades of scholarly contribution, Lee has consistently focused on translating advanced engineering principles into practical medical and assistive applications. Lee's most impactful contribution is his development of a surgical robot for lower limb fracture reduction, which introduced innovative features including automated knee flexion control, individualized traction, and foot rotation to assist orthopaedic surgeons — earning 22 citations and representing a meaningful advance in computer-aided surgery. Complementing this, his image servo tracking surgical navigation robot, developed across multiple studies in the mid-2000s, further established his reputation in precision surgical systems. Beyond the operating room, Lee pioneered an agent-based autonomous robotic wheelchair controller incorporating A* path planning and obstacle avoidance, demonstrating his commitment to assistive technology. His early foundational work on kinematic and kinetic performance tools for multi-degree-of-freedom mechanisms provided analytical frameworks that influenced robotic manipulator design. More recently, his research on accelerometer-based body sensor networks and fall detection signals bridges wearable health monitoring with aging-population care. With cumulative citations exceeding 80 across diverse engineering domains, Lee represents a productive career dedicated to human-centered robotics and intelligent medical systems.
Research Focus
Key Achievements
Top Papers
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- 2DEVELOPMENT OF AGENT-BASED AUTONOMOUS ROBOTIC WHEELCHAIR CONTROL SYSTEMS13 citations · 2003
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