Pei-Chien Lee

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About

Pei-Chien Lee is a pioneering researcher in autonomous mobile robotics, with a focused career dedicated to real-time navigation and obstacle avoidance systems. His key research areas encompass sensor-based control algorithms, microprocessor integration, and heuristic path planning for mobile robots operating in complex environments. Lee’s most significant contribution is the development of a dual-mode obstacle avoidance algorithm, comprising a heuristic mode (H-mode) and a track mode (T-mode), which enables autonomous robots to navigate safely through environments with multiple concave and convex obstacles. This work, published in 1992, has garnered 31 citations and remains a foundational reference in the field. Lee further demonstrated the practical application of his algorithm by implementing it on the NTU II mobile robot, a microprocessor-based platform, showcasing the transition from theory to real-world hardware. While his later work on microprocessor-based control has fewer citations, it underscores his commitment to bridging algorithmic design with embedded systems. Lee’s research has influenced subsequent generations of robotics engineers, particularly in the development of efficient, real-time navigation strategies for autonomous systems.