About

Wei Xu is a versatile robotics and systems engineer whose research spans an impressive breadth of disciplines, including SLAM and sensor fusion, cable-driven parallel robots, brain-machine interfaces, and soft robotics. His most-cited contribution, **FAST-LIVO** (2022, 195 citations), represents a landmark advance in autonomous navigation, proposing a tightly coupled LiDAR-Inertial-Visual Odometry system that delivers fast, robust pose estimation for real-world robotic deployment. His foundational work on fuzzy reactive navigation (1999, 90 citations) and nonholonomic tracking control (2000, 81 citations) established early theoretical underpinnings for intelligent mobile robotics, while his visual dead-reckoning framework for Mecanum-wheeled robots further demonstrated practical ingenuity. Xu has also made notable contributions to medical and assistive robotics, including tendon-sheath actuator modeling (88 citations), a biologically inspired chewing robot (87 citations), and a soft force feedback glove (70 citations). His work on EEG-based motor imagery decoding (89 citations) reflects a commitment to bridging neuroscience and robotics. Collectively accumulating nearly 1,000 citations across two decades, Xu's career exemplifies rare interdisciplinary range, consistently translating theoretical innovation into tangible robotic systems.

Research Focus

Key Achievements

34
H-Index
176
Papers
3,518
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
FAST-LIVO: Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry
195 citations · 2022
📈 Most Prolific Year: 2016 (18 Papers)
🤝 Key Collaborators: 236
🏛 Institutions: University of Hong Kong, University of Auckland, Massey University, Shenyang Institute of Automation, Dalian University of Technology, National University of Defense Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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