Chih-Yung Chen
Papers
1
Total Citations
31
H-Index
1
About
Chih-Yung Chen is a researcher whose work sits at the intersection of intelligent robotics, fuzzy systems, and omni-directional vision technology. His most-cited paper, "Intelligent omni-directional vision-based mobile robot fuzzy systems design and implementation" (2009, 31 citations), exemplifies his core contribution: integrating omni-directional vision sensors with fuzzy logic control to enhance mobile robot perception and autonomous navigation. This work addresses a fundamental challenge in robotics—how to enable a robot to perceive its environment holistically and make intelligent, real-time decisions without relying on complex, pre-programmed models. By fusing visual data from a 360-degree field of view with adaptive fuzzy inference, Chen’s approach improves robustness in dynamic, unstructured settings. Though his citation count is modest, the impact of this single paper is significant within the niche of vision-based fuzzy control, serving as a foundational reference for subsequent studies in intelligent mobile robotics. Chen’s research demonstrates a practical, systems-level mindset, bridging theoretical fuzzy logic with real-world hardware implementation, and his work continues to inspire students and engineers seeking to build more perceptive and autonomous robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1