About

Yuanlong Xie is a prolific robotics and control systems researcher whose work spans mobile robot navigation, advanced control theory, and smart manufacturing automation. He has made significant contributions to the field of fractional-order control, developing innovative approaches such as coupled fractional-order sliding mode control and decoupled fractional supertwisting stabilization for mobile robots operating under challenging real-world conditions — work that has collectively garnered over 160 citations. His research on four-wheeled steerable and omnidirectional mobile robots addresses critical challenges including obstacle avoidance, fault tolerance, and robust performance under harsh terrain, demonstrating both theoretical depth and practical relevance. Xie has also advanced the field of mobile robot localization, proposing efficient LiDAR-based global localization strategies using multiscale maps for large-scale environments. His widely-cited 2024 review of sensing technologies for indoor autonomous mobile robots (69 citations) reflects his broad command of the field and its emerging directions. Beyond navigation and control, Xie has explored industrial robot applications, including iterative data-driven control and smart manufacturing training systems. His diverse yet cohesive body of work positions him as a key contributor bridging rigorous control theory with real-world robotic applications.

Research Focus

Key Achievements

15
H-Index
55
Papers
797
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Coupled fractional-order sliding mode control and obstacle avoidance of a four-wheeled steerable mobile robot
129 citations · 2020
📈 Most Prolific Year: 2020 (10 Papers)
🤝 Key Collaborators: 66
🏛 Institutions: Huazhong University of Science and Technology, Guangdong Institute of Intelligent Manufacturing, Binzhou Medical University, Harbin Institute of Technology, State Key Laboratory of Robotics and Systems, Ministry of Education of the People's Republic of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago