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About

Ter Feng Wu is a robotics and autonomous systems researcher whose work centers on mobile robot navigation, obstacle avoidance, and intelligent control systems. His research portfolio demonstrates a strong focus on equipping wheeled and omni-directional mobile robots with the perceptual and computational capabilities needed to operate safely and efficiently in real-world environments. Wu's most cited contribution, "Use of Ultrasonic Sensors to Enable Wheeled Mobile Robots to Avoid Obstacles" (2014, 16 citations), showcases his practical approach to robot perception, deploying a six-sensor array for continuous real-time environmental awareness. Complementing this, his work on CMOS image sensor-based obstacle avoidance explores vision-driven alternatives for detecting smaller obstacles that sonar may miss. On the control side, Wu developed an Adaptive Fuzzy CMAC controller for omni-directional robots, elegantly merging fuzzy logic with cerebellar model architectures to solve complex trajectory tracking problems. His metaheuristic Artificial Immune System algorithm further reflects his interest in bio-inspired optimization for generating collision-free, shortest-path navigation solutions. With a research output concentrated in 2014 and citations accumulating steadily across these works, Wu has established a cohesive and practically grounded body of knowledge that offers valuable insights for students and engineers designing the next generation of intelligent autonomous robots.