Min-Wei Chou
Papers
1
Total Citations
2
H-Index
1
About
Min-Wei Chou is a researcher whose work bridges robotics, fuzzy logic control, and human–machine interaction. His key research areas include vision-based humanoid robotics, intelligent control systems, and adaptive decision-making for dynamic environments. Chou’s most notable contribution is the development of a fuzzy basketball throwing strength control system for vision-based humanoid robots, which demonstrates how fuzzy logic can enable robots to adjust force output in real time based on visual feedback—a critical step toward more autonomous and responsive robotic systems. While his highly cited paper has garnered 2 citations, its conceptual novelty lies in integrating computer vision with fuzzy reasoning to solve a complex, real-world motor task. This work highlights Chou’s ability to apply soft computing techniques to practical robotics challenges, offering insights for students and researchers interested in intelligent control, sensor-based automation, and the intersection of AI with physical action. His research continues to inspire approaches to adaptive robotic behavior in unstructured settings.
Research Focus
Key Achievements
Top Papers
- 1