Yongtao Liu

North China Institute of Science and Technology, China Agricultural University

Papers

Total Citations

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About

Yongtao Liu is a researcher specializing in autonomous robotics, fire-fighting systems, and intelligent path planning, with a focus on developing practical solutions for emergency response scenarios. His work has made meaningful contributions to the field of autonomous mobile robots, particularly in high-stakes environments where speed and precision are critical. Liu's most influential work, "Warehouse-Oriented Optimal Path Planning for Autonomous Mobile Fire-Fighting Robots" (2020), has garnered 23 citations and demonstrates his expertise in applying optimization algorithms — including A* search methods — to real-world fire-fighting challenges in warehouse environments. By prioritizing shortest-time travel paths, his research directly addresses the urgency inherent in emergency response situations. Building on this foundation, his 2021 paper on autonomous positioning using multi-source sensor fusion has accumulated 18 citations, highlighting his commitment to improving robot localization accuracy through the integration of diverse sensing modalities. Collectively, Liu's research bridges the gap between theoretical robotics and practical emergency management applications. His contributions are particularly valuable for researchers and engineers working on autonomous systems, robot navigation, and smart safety infrastructure, making his work a relevant reference point for those advancing the next generation of intelligent emergency response technologies.