Feng-Yi Chou
Papers
1
Total Citations
11
H-Index
1
About
Feng-Yi Chou is a researcher in robotics and autonomous systems, with a primary focus on intelligent path planning and navigation for mobile robots. His most cited work, "Support vector machine based artificial potential field for autonomous guided vehicle" (2008, 11 citations), introduces a novel hybrid model that integrates support vector machine (SVM) optimization into the traditional artificial potential field method. This approach enables an autonomous guided vehicle to more effectively navigate from a starting point to a goal, overcoming local minima and improving path smoothness. Chou’s contribution lies in bridging machine learning with classical robotics control, offering a more robust solution for real-world autonomous navigation. While his citation count reflects a niche but impactful contribution, his work has informed subsequent studies in intelligent transportation and service robotics. Chou’s research demonstrates a keen ability to synthesize computational intelligence with practical engineering challenges, making his work a valuable reference for students and researchers exploring advanced path planning algorithms in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1