Yung-Pyng Chang

National Chung Shan Institute of Science and Technology

Papers

Total Citations

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About

Yung-Pyng Chang is a researcher whose work lies at the intersection of robotics, fuzzy logic, and autonomous navigation. Their most notable contribution is a simple yet highly effective fuzzy motion planning strategy for autonomous mobile robots, introduced in a 2007 paper that has garnered 9 citations. This sensor-based approach enables robots to navigate unknown indoor environments with behaviors typically reserved for high-end systems, all while remaining implementable on low-cost hardware. Chang's work demonstrates a talent for distilling complex robotic challenges into elegant, practical solutions that bridge the gap between academic theory and real-world application. The strategy's ability to produce sophisticated navigation behaviors—such as obstacle avoidance and goal-seeking—from a relatively simple fuzzy logic framework highlights Chang's focus on accessibility and efficiency in robotics. While the citation count is modest, the paper's enduring relevance in the field of fuzzy motion planning underscores its foundational value for researchers and engineers working on cost-effective autonomous systems. Chang's contributions continue to inspire those seeking to democratize advanced robotic capabilities.