Papers

70

Total Citations

2,683

H-Index

25

About

Fugui Xie is a prolific robotics researcher whose work spans two interconnected domains: parallel kinematic mechanisms and intelligent robotic systems for real-world applications. He has made substantial contributions to the design, analysis, and calibration of high-performance parallel robots, as well as pioneering advances in semantic SLAM for autonomous navigation. Xie's most-cited work, "DS-SLAM" (2018, 1,052 citations), introduced a landmark semantic visual SLAM system capable of operating reliably in dynamic environments — a long-standing challenge in mobile robotics. This contribution alone has cemented his influence in the autonomous systems community. Complementing this, his extensive research on parallel kinematic mechanisms has yielded novel robot architectures featuring Schönflies motion, high-speed pick-and-place capability, and advanced error modeling and compensation techniques, with individual papers drawing between 50 and 135 citations. His applied work extends to industrial contexts, including five-axis parallel machining robots, toolpath smoothing for precise manufacturing, and hybrid mobile robots designed for wind turbine blade polishing — demonstrating a consistent commitment to translating theoretical innovation into practical solutions. Collectively, Xie's research reflects a sophisticated integration of mechanical design, kinematics, and intelligent perception that continues to shape modern robotics.

Research Focus

Key Achievements

25
H-Index
70
Papers
2,683
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments
1,052 citations · 2018
📈 Most Prolific Year: 2021 (12 Papers)
🤝 Key Collaborators: 89
🏛 Institutions: Tsinghua University, State Key Laboratory of Tribology, Siemens (China), Shandong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 35 days ago