Anh-Quy Hoang
Papers
1
Total Citations
3
H-Index
1
About
Anh-Quy Hoang is a researcher specializing in swarm intelligence and multi-robot systems, with a particular focus on odor source localization—a challenging problem in environmental monitoring and search-and-rescue operations. His most-cited work, "Swarm Intelligence-Based Approach for Macroscopic Scale Odor Source Localization Using Multi-robot System" (2016), introduces a novel framework that leverages collective robotic behaviors to efficiently trace and pinpoint odor sources over large areas. By applying principles from biological swarms, Hoang’s approach enables multiple robots to coordinate autonomously, reducing search time and improving accuracy compared to traditional single-robot methods. While his citation count is modest, this foundational paper has laid important groundwork for integrating swarm algorithms into practical, real-world robotic deployments. Hoang’s contributions are particularly valuable for advancing autonomous systems in hazardous or inaccessible environments, where rapid and reliable detection of chemical sources is critical. His work continues to inspire further research at the intersection of robotics, artificial intelligence, and environmental sensing.
Research Focus
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Top Papers
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