Papers
5
Total Citations
102
H-Index
3
About
Guodong Wang is a robotics and autonomous systems researcher whose work centers on multi-robot coordination, simultaneous localization and mapping (SLAM), and autonomous navigation. His most significant contributions lie in the development of distributed formation control frameworks for multi-mobile robot systems, particularly schemes that integrate collision avoidance mechanisms within complex communication networks. His 2022 paper introducing a guidance module-based formation control approach has garnered 59 citations, establishing him as a notable voice in cooperative robotics. Complementing this, his work on nested constraints-based anti-disturbance formation control further demonstrates his commitment to robust, real-world applicable solutions. Wang has also made meaningful contributions to visual SLAM, proposing a system that combines semantic segmentation with geometric constraints to improve localization accuracy in dynamic indoor environments—work that has attracted 31 citations. His research extends into emergency rescue robotics, where he applied Preview Linear Model Predictive Control for path tracking under 6G communication networks. More recently, Wang has explored velocity-constrained formation strategies for wheeled mobile robots with applications in cooperative transportation, reflecting a steadily broadening research agenda with strong practical implications for autonomous systems.
Research Focus
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