Jhen-Wei Liou

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About

Jhen-Wei Liou is a researcher whose work bridges robotics, intelligent systems, and safety engineering. His key research areas include mobile robotics, autonomous navigation, and smart building technologies. Liou’s most notable contribution is the development of a mobile-robot-based intelligent fire detection and escaping system, which integrates real-time fire source identification with dynamic path planning to guide occupants to safety. This work, published in 2013, has garnered 3 citations and demonstrates a practical, low-cost approach to emergency response using a compact cylindrical robot (10 cm diameter, 18 cm height, 1.5 kg). By combining sensor-driven detection with autonomous movement, Liou’s system offers a scalable solution for enhancing building safety. His research highlights the potential of robotics in life-critical applications, and his experimental platform serves as a foundation for future work in intelligent evacuation systems. Liou’s contributions are particularly relevant for students and researchers interested in the intersection of robotics, artificial intelligence, and disaster management, showcasing how even small-scale platforms can address complex real-world challenges.