Hou-Yi Wang

Papers

Total Citations

H-Index

About

Hou-Yi Wang is a researcher specializing in intelligent motion control for mobile robotics, with a particular focus on two-wheeled autonomous systems. His work lies at the intersection of fuzzy logic control, swarm intelligence, and evolutionary computation. Wang’s most influential contribution is a PSO-based motion fuzzy controller design for mobile robots, which integrates distance and angle fuzzy controllers to determine wheel motor velocities. This approach, published in 2008 and garnering 45 citations, introduced a novel method for automatically tuning membership functions using particle swarm optimization, significantly advancing adaptive control in robotics. He further extended this work with a batch learning structure that combines fuzzy inference systems with genetic algorithms, enabling automatic motion controller generation through a three-state architecture of control, system identification, and controller optimization. While his citation counts reflect a focused but impactful body of work, Wang’s contributions are particularly notable for bridging computational intelligence techniques with practical robotic control challenges. His research provides foundational methodologies for researchers working on autonomous navigation, adaptive control systems, and the application of metaheuristic algorithms to real-world robotic platforms.