Ying Yao Ting

National Kaohsiung First University of Science and Technology

Papers

Total Citations

H-Index

About

Ying Yao Ting is a researcher focused on intelligent robotics and emergency response systems, with a particular emphasis on autonomous navigation and safety applications. Their most cited work, "Path Planning of the Fire Escaping System Using Active Detection Module" (2017, 3 citations), introduces a novel security system that integrates active detection modules with mobile robots to plan optimal escape routes during fire events. This system features compact, cylindrical robots (18 cm height, 8 cm diameter, 1.5 kg) equipped with multiple modules for real-time environmental sensing and path computation. Ting’s contribution lies in combining active detection with path planning algorithms to enhance the reliability and speed of emergency evacuations, addressing critical gaps in traditional static escape systems. While their citation count reflects a niche but growing interest in this specialized area, the work demonstrates practical innovation in robotics for life-saving scenarios. Ting’s research bridges hardware design and software intelligence, offering a scalable solution for smart building safety. Their efforts underscore a commitment to leveraging robotics for societal benefit, making them a notable figure in the intersection of autonomous systems and disaster management.