Shih-Wen Cheng

Southern Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Shih-Wen Cheng is a researcher specializing in robotics, fuzzy logic control, and evolutionary optimization algorithms. His work focuses on developing intelligent control systems for autonomous robots, particularly in the dynamic and competitive environment of robot soccer. Cheng’s major contribution lies in the design of hybrid algorithms that combine genetic algorithms (GA) and particle swarm optimization (PSO) to fine-tune fuzzy logic controllers. In his most cited paper, “Application of the GA-PSO with the fuzzy controller to the robot soccer” (2010, 5 citations), he introduced a GA-PSO-based motion fuzzy controller that optimally determines a robot’s velocity in a five-versus-five soccer simulation. This work demonstrates how evolutionary computation can enhance real-time decision-making in multi-agent systems. His related study, “Hybrid Algorithm of FLC Design for Robot Soccer” (2010, 2 citations), further explores the integration of fuzzy logic with hybrid optimization techniques. Though his citation counts are modest, Cheng’s research provides foundational insights into adaptive control for autonomous robotics, bridging theoretical optimization with practical applications in competitive robotics. His work remains relevant for students and researchers interested in intelligent control, evolutionary algorithms, and multi-robot coordination.