Papers
9
Total Citations
106
H-Index
5
About
Shun-Hung Tsai is a robotics and control systems researcher whose work centers on mobile robot navigation, intelligent control theory, and computer vision for autonomous systems. His research has made notable contributions to the fields of fuzzy logic control, sensor fusion, and real-time image processing, with particular emphasis on enabling mobile robots to navigate complex environments reliably and efficiently. Among his most influential contributions is his development of HSL color space-based detection methods for robotic applications, which has garnered 40 citations, and his pioneering work on fuzzy target tracking and obstacle avoidance using stereo vision systems, cited 31 times. These studies established practical frameworks for integrating visual perception with intelligent control in competitive and real-world robotic scenarios. Tsai has also advanced the theoretical underpinnings of nonholonomic wheeled mobile robot control, proposing interval type-2 fuzzy kinematic and dynamic control schemes combined with adaptive sliding-mode techniques — work that addresses trajectory tracking challenges with mathematical rigor. His more recent research incorporates MEMS-based IMU sensor fusion for real-time trajectory tracking, reflecting his commitment to bridging theoretical advances with practical hardware implementation. Spanning over a decade of sustained inquiry, Tsai's body of work offers valuable tools and frameworks for researchers and engineers working at the intersection of robotics, control engineering, and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A Sensor Fusion Based Nonholonomic Wheeled Mobile Robot for Tracking Control10 citations · 2020
- 4
- 5
- 6
- 7
- 8
- 9