Hang Yi

Papers

Total Citations

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About

Dr. Hang Yi is a researcher at the forefront of bioinspired robotics and environmental sensing, specializing in the development of intelligent mobile algorithms for hazardous gas source localization. Their most-cited work, "Comparison and Improvement of Bioinspired Mobile Algorithms to Trace the Emission Source Based on the Simulation Scenarios" (2022), systematically evaluates and enhances nature-inspired navigation strategies—such as those mimicking ant foraging or moth flight—for robots equipped with gas sensors. By rigorously comparing performance, efficiency, and accuracy across simulated emission scenarios, Dr. Yi provides critical insights into optimizing autonomous tracking of toxic plumes, a vital capability for industrial safety and disaster response. This foundational study has garnered 2 citations, signaling growing interest in their systematic approach to algorithm refinement. Dr. Yi’s contributions bridge computational biology and practical robotics, offering a roadmap for deploying resilient, low-cost mobile sensors in real-world environments. Their work not only advances the theoretical understanding of bioinspired swarming and chemotaxis but also directly supports the design of next-generation environmental monitoring systems. For students and researchers, Dr. Yi exemplifies how merging biological principles with engineering can tackle pressing challenges in pollution control and public health protection.