Juing-Shian Chiou
Papers
6
Total Citations
46
H-Index
3
About
Juing-Shian Chiou is a leading researcher in intelligent robotics and computer vision, with a focus on real-time recognition systems and autonomous mobile robots. His most impactful work, a 2014 paper on a PCA and SVM-PSO based real-time face recognition system (22 citations), pioneered the integration of principal component analysis with particle swarm optimization to enhance image recognition accuracy. Chiou has made significant contributions to robot soccer, developing adaptive classification and strategy systems for multi-robot coordination, including fuzzy ant colony optimization algorithms for path planning and obstacle avoidance. His work on a simple interface for 3D position estimation of mobile robots using a single camera (13 citations) demonstrates his commitment to practical, accessible robotics solutions. With a career spanning from early five-on-five robot soccer competition designs to advanced visual control interfaces, Chiou has accumulated over 46 citations across his key publications. His research bridges theoretical optimization methods with real-world applications, particularly in dynamic environments requiring real-time decision-making. Chiou's work continues to influence the fields of autonomous navigation, swarm intelligence, and computer vision systems.
Research Focus
Key Achievements
Top Papers
- 1Applications of PCA and SVM‐PSO Based Real‐Time Face Recognition System22 citations · 2014
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- 6Hybrid Algorithm of FLC Design for Robot Soccer2 citations · 2010