Hirokazu Takahashi
Tokyo University of Science, The University of Tokyo, NTT (Japan)
Papers
7
Total Citations
123
H-Index
4
About
Hirokazu Takahashi is a pioneering researcher at the intersection of computational neuroscience, embodied cognition, and bio-inspired robotics. His work explores how biological neural systems—from cultured neuronal networks to insect nervous systems—can serve as physical computational resources and controllers for adaptive robots. Takahashi’s most cited study (2021, 64 citations) demonstrates physical reservoir computing with FORCE learning in a living neuronal culture, overcoming the challenge of generating coherent output from spontaneously active neural systems. He is also known for developing insect-controlled robots (2007, 24 citations) that evaluate adaptation ability, and for experiments where cultured neuronal cells control robot behavior through the stimulus avoidance principle (2015, 15 citations), contributing to the understanding of sense-making and embodied cognition. His research extends to enhancing robot listening capabilities by reducing stationary ego-noise (2019, 14 citations), and investigating collision avoidance systems inspired by insect antennal tracking strategies. Takahashi’s work bridges biology and robotics, offering insights into how simple neural systems generate adaptive behavior, with implications for autonomous systems, neuromorphic computing, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 2Insect-Controlled Robot – Evaluation of Adaptation Ability –24 citations · 2007
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