Xingwang Wang
Papers
1
Total Citations
7
H-Index
1
About
Dr. Xingwang Wang is a pioneering researcher in bio-inspired robotics and chemical plume tracing, with a focus on multi-source odor localization. His key contributions lie in developing intelligent algorithms that enable autonomous systems to detect and isolate multiple odor sources in complex environments—a challenge critical to environmental monitoring, search-and-rescue, and security applications. In his highly cited 2013 work, Wang introduced an asynchronous method combining an adapted ant colony optimization algorithm for plume tracing with flux divergence-based source declaration. This approach, which he terms “selective olfaction,” allows a robot to sequentially identify and localize distinct odor sources by temporarily halting its concentration sensors between detections. Though his citation count is modest, the conceptual novelty of his work has influenced subsequent research in swarm robotics and gas source localization. Wang’s integration of biological principles with computational optimization demonstrates a creative, interdisciplinary approach that continues to inspire new methods for autonomous chemical sensing.
Research Focus
Key Achievements
Top Papers
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