Takeshi Sakurai
Papers
8
Total Citations
142
H-Index
6
About
Takeshi Sakurai is a leading researcher in bio-inspired robotics and insect behavior, specializing in chemical plume tracing (CPT) and adaptive locomotion. His major contributions lie in developing robust algorithms for odor source localization, inspired by the silkmoth’s olfactory search behavior. Notably, his 2017 paper on a time-varying moth-inspired algorithm for turbulent environments (52 citations) introduced a novel CPT method that outperforms conventional approaches. He also pioneered the “3-DOF servosphere” (2016, 24 citations), an untethered system for full locomotion compensation in walking insects, enabling precise behavioral studies. Sakurai’s work on optogenetic silkmoths (2019, 17 citations) revealed the role of wind information in efficient plume tracing, while his information-theoretic modeling (2021, 15 citations) identified the exploration-exploitation balance in olfactory search. He further advanced “animal-in-the-loop” systems (2018, 15 citations) to bridge biological models and robotic implementation. With over 140 total citations, Sakurai’s interdisciplinary approach—integrating biology, robotics, and sensor technology—has significantly impacted autonomous navigation and odor discrimination systems, including real-time odor discrimination using a single insect antenna (2020). His research continues to inspire next-generation bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
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- 5Animal-in-the-loop system to investigate adaptive behavior15 citations · 2018
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- 7Real-Time Odor Discrimination Using Single Antenna of Insect4 citations · 2020
- 8Sensing technology based on olfactory receptors3 citations · 2019