About

Dr. Xingjian Wang is a leading researcher in robotics and intelligent control systems, with a focus on teleoperation, bio-inspired robotics, and swarm coordination. His most impactful work, a 2016 paper on teleoperation control that combines wave variables with neural networks (327 citations), introduced a novel method to compensate for communication delays and dynamic uncertainties, significantly advancing the field of remote manipulation. He has also made major contributions to underwater robotics, developing a permanent magnet-based flow velometer with ultralow drift (85 citations) and a 3D hybrid formation control system for underwater robot swarms (30 citations). His research extends to bionic design, including a manta ray robot with flexible pectoral fins (24 citations) and a worm robot controlled by neural central pattern generators (8 citations), as well as adaptive impedance control for lower limb exoskeletons (34 citations) and self-reconfigurable hierarchical frameworks for robot swarms (36 citations). With over 550 total citations across his top ten papers, Dr. Wang’s work is widely recognized for its practical applications in rehabilitation, underwater exploration, and multi-robot systems, making him a key figure in modern robotics and control engineering.

Research Focus

Key Achievements

7
H-Index
13
Papers
564
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Teleoperation Control Based on Combination of Wave Variable and Neural Networks
327 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: South China University of Technology, Ningbo University of Technology, Beihang University, Zhejiang University, University of Wisconsin–Madison

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago