Ming-Chih Chen

National Kaohsiung First University of Science and Technology, Feng Chia University

Papers

Total Citations

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About

Ming-Chih Chen’s research focuses on intelligent robotic systems and autonomous vehicle design, with a particular emphasis on applications in disaster response and fuzzy control methodologies. His most influential contribution, “Design of Unmanned Vehicle System for Disaster Detection” (2015, 6 citations), presents a novel remote-controlled vehicle integrated with an Android-based application, enabling rescuers to safely assess hazardous disaster zones via wireless networks. This work addresses critical challenges in emergency robotics, offering a practical solution for real-time risk detection. Earlier, Chen explored adaptive control strategies in “A fuzzy controller for hexapod robot with modified fuzzy identification” (2002, 2 citations), where he advanced fuzzy rule construction to improve robot locomotion without relying solely on trial-and-error. Though his citation counts are modest, his work demonstrates a sustained commitment to bridging control theory and field-deployable robotics. Chen’s contributions are particularly notable for their applied focus—translating complex fuzzy logic and unmanned systems into tools that enhance human safety in dangerous environments. His research remains relevant for engineers developing cost-effective, accessible robotic solutions for disaster management and autonomous navigation.