Hideki Sezutsu

National Agriculture and Food Research Organization

Papers

Total Citations

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About

Hideki Sezutsu is a leading researcher in bio-inspired robotics and insect behavior, whose work bridges neuroscience, ethology, and engineering. His primary research areas include olfactory search algorithms, adaptive behavior modeling, and animal-in-the-loop systems. Sezutsu's major contributions center on unraveling how silkworm moths navigate turbulent odor plumes to locate mates or food sources, and translating these biological strategies into efficient robotic algorithms. Notably, his 2019 study on the role of wind information in chemical plume tracing demonstrated that incorporating wind cues into moth-inspired algorithms significantly improves odor source localization in robots, especially under low-frequency emission conditions. His 2021 work applied information-theoretic modeling to quantify the exploration-exploitation balance in silkmoth search behavior, providing a rigorous framework for understanding adaptive decision-making with minimal neural resources. Additionally, his 2018 development of an animal-in-the-loop system enabled real-time investigation of adaptive behavior by integrating live animals with robotic platforms, addressing the limitations of conventional bio-inspired models that ignore robot dynamics. With over 47 citations across his most cited papers, Sezutsu's research has advanced both fundamental understanding of insect olfaction and practical applications in autonomous search-and-rescue robotics.