Pu Sheng Tsai

National Chung Shan Institute of Science and Technology, National Ilan University, China University of Science and Technology

Papers

Total Citations

H-Index

About

Pu Sheng Tsai is a robotics and control systems researcher whose work focuses on mobile robot navigation, intelligent control, and sensor-based autonomous systems. His research sits at the intersection of embedded sensing technologies and adaptive control algorithms, addressing the fundamental challenge of enabling robots to perceive and respond intelligently to their environments. Tsai's most recognized contribution, "Use of Ultrasonic Sensors to Enable Wheeled Mobile Robots to Avoid Obstacles" (2014, 16 citations), demonstrates his practical approach to real-time obstacle avoidance, deploying a six-sensor array to give wheeled robots reliable environmental awareness during continuous navigation. Complementing this, his work on CMOS image-based obstacle detection systems explores vision-driven alternatives to sonar-based approaches, broadening the toolkit available for autonomous mobile platforms. Perhaps his most technically sophisticated contribution is his development of an Adaptive Fuzzy Cerebellar Model Articulation Controller (AFCMAC) for omni-directional mobile robots, combining fuzzy logic with neural-inspired CMAC architecture to solve complex trajectory tracking problems — a method reflecting his strength in bridging intelligent computational methods with real-world robotic control. Collectively, Tsai's body of work offers valuable insights for researchers and engineers designing smarter, sensor-rich autonomous robotic systems.