Papers
6
Total Citations
48
H-Index
3
About
Ruiguo Li is a robotics and autonomous systems researcher whose work centers on multi-robot coordination, swarm intelligence, and environmental source localization. His research addresses one of the most practically significant challenges in robotics: enabling teams of autonomous mobile robots to collaboratively locate the origins of scalar fields and chemical plumes in complex, obstacle-laden environments. Li's most influential contribution, "Multi-Robot Source Location of Scalar Fields by a Novel Swarm Search Mechanism With Collision/Obstacle Avoidance" (2020, 30 citations), introduced an adaptive weight strategy that dynamically updates swarm behavior to efficiently guide robots toward field sources while navigating real-world hazards. Building on this foundation, he pioneered the integration of quantum-inspired optimization theory into multi-robot systems, producing a series of works on plume source localization that incorporate formation maintenance, information fusion, and communication-constrained coordination. His broader portfolio extends to dynamic scalar field deployment and high-sensory-interest region coverage, reflecting a sustained commitment to practical robustness in uncertain environments. With cumulative citations approaching 50 across his publications, Li's research is making meaningful strides in swarm robotics, offering scalable, intelligent solutions applicable to environmental monitoring, disaster response, and hazardous material detection.
Research Focus
Key Achievements
Top Papers
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