Tao Xing

Sichuan University of Science and Engineering

Papers

Total Citations

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About

Tao Xing is a researcher in robotics and multi-agent systems, with a primary focus on robot formation control—a critical area for enabling coordinated, efficient task execution in autonomous teams. His most-cited work, the 2023 survey "Survey of Robot Formation Control Methods," provides a comprehensive overview of formation control strategies, laying the theoretical and technical groundwork for stable, high-performance multi-robot operations. This survey has garnered 3 citations, establishing Xing as a thoughtful synthesizer in a niche but impactful field. By systematically analyzing control methods and their practical applications, Xing’s research supports advances in search-and-rescue, environmental monitoring, and automated logistics. His contributions help bridge the gap between theoretical control algorithms and real-world deployment, offering a valuable resource for students and engineers alike. Xing’s work underscores the importance of robust formation control as a cornerstone for complex autonomous missions, making him a notable voice in the ongoing development of intelligent robotic systems.