Guan-Yu Chen
Papers
1
Total Citations
23
H-Index
1
About
Guan-Yu Chen is a researcher in robotics and intelligent control, with a focus on bio-inspired algorithms for autonomous navigation and obstacle avoidance. His most cited work, “A migrant-inspired path planning algorithm for obstacle run using particle swarm optimization, potential field navigation, and fuzzy logic controller” (2016, 23 citations), introduces a novel hybrid approach that combines particle swarm optimization (PSO)—inspired by bird flocking—with potential field navigation and fuzzy logic control. This work demonstrates how migratory animal behaviors can inform efficient, adaptive path planning in complex environments. Chen’s contributions lie at the intersection of swarm intelligence and robotic motion planning, offering practical solutions for real-time obstacle avoidance. His research has been cited in studies on autonomous vehicles, mobile robotics, and intelligent control systems. By integrating multiple computational techniques, Chen has advanced the development of more robust and flexible navigation algorithms, making his work a valuable reference for engineers and researchers working on autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1