Pei‐Jun Lee

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About

Pei‐Jun Lee is a robotics researcher whose work centers on intelligent control systems, autonomous navigation, and bio-inspired robotic design. His most influential contribution is the development of a fuzzy control-based intelligent robot fish (2009, 6 citations), which pioneered the integration of soft computing techniques into biomimetic underwater robotics. This work demonstrated how fuzzy logic could enable smooth, adaptive locomotion in aquatic environments without requiring precise mathematical models. Lee further advanced autonomous robotics through his design of a wall-climbing monitor robot (2017, 2 citations), which combined multiple critical functions—wall adhesion, route planning, obstacle avoidance, and image processing—into a single platform controllable via Bluetooth from a smart device. His research on FPGA-implemented fuzzy control for wheel robots (2017, 2 citations) introduced an innovative approach to rapid obstacle avoidance by using three distance values and the robot’s previous turning state to compute optimal turning angles. Across these projects, Lee has consistently focused on making autonomous robots more practical and accessible, bridging the gap between theoretical control methods and real-world deployment. His work exemplifies how fuzzy logic can solve complex navigation challenges in constrained, dynamic environments.