Ching-Yu Chou

Papers

Total Citations

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About

Ching-Yu Chou is a researcher specializing in autonomous robotics, fuzzy control systems, and evolutionary computation, with a particular focus on enabling intelligent navigation in complex, unknown environments. His work centers on developing sophisticated control architectures that allow wheeled robots to traverse unstructured spaces without prior environmental knowledge — a challenge with significant real-world implications for autonomous vehicles and smart transportation systems. Chou's most notable contributions involve the design of multi-behavior navigation frameworks that integrate fuzzy logic controllers with evolutionary learning strategies. His 2018 paper on evolutionary fuzzy control for autonomous wheeled robot navigation, garnering 19 citations, established a foundational framework combining obstacle avoidance, target seeking, and behavioral supervision. Building on this, his 2021 work advanced the field further by merging expert domain knowledge with data-driven multiobjective evolutionary learning, earning 21 citations and demonstrating a compelling hybrid approach that bridges human expertise with machine optimization. Together, these contributions reflect Chou's commitment to making robotic navigation both adaptive and interpretable — a balance that remains a critical challenge in intelligent systems research. His work offers practical pathways toward deploying autonomous robots in real-world environments such as parking lots and dynamic urban settings.