Ko-Jui Hsu
Papers
1
Total Citations
5
H-Index
1
About
Ko-Jui Hsu’s research lies at the intersection of intelligent robotics, image processing, and adaptive control systems, with a particular focus on enhancing the autonomy and precision of wheeled mobile robots. His most cited work, "A Wheeled Mobile Robot Path-Tracking System Based on Image Processing and Adaptive CMAC" (2014), demonstrates a novel integration of CCD camera-based environmental perception with an adaptive cerebellar model articulation controller (CMAC) for real-time trajectory recognition and tracking. This contribution addresses a critical challenge in mobile robotics—enabling robots to dynamically interpret and follow paths in unstructured environments. While his citation count (5) reflects a focused, early-stage impact, the work’s interdisciplinary approach has laid groundwork for subsequent advances in vision-guided navigation and intelligent control. Hsu’s research is particularly notable for its practical emphasis on real-time performance, bridging theoretical control methods with hardware implementation. His achievements highlight a commitment to developing robust, adaptive systems that can operate reliably in real-world conditions, making his work relevant for researchers exploring autonomous navigation, computer vision, and embedded control systems.
Research Focus
Key Achievements
Top Papers
- 1