Takuro Sasaki
Papers
2
Total Citations
8
H-Index
2
About
Takuro Sasaki is a pioneering researcher in bio-inspired robotics, specializing in hardware neural networks (HNN) for microrobot locomotion. His work centers on developing compact, efficient control systems that mimic biological neural circuits, enabling autonomous gait generation in insect-scale robots. Sasaki’s major contributions include the design and implementation of HNN integrated circuits (ICs) that produce multi-phase pulse waveforms to drive microrobot limbs. In his 2019 study, he successfully demonstrated gait pattern generation for a hexapod-type microrobot using an interstitial cell model-based HNN, achieving stable locomotion with just five citations—a testament to the niche but foundational nature of this work. His 2021 paper advanced this concept by introducing a switchable gait pattern for insect-type microrobots, allowing adaptive movement without external controllers. These innovations bridge neuromorphic engineering and micro-robotics, offering a path toward untethered, autonomous microrobots for exploration or medical applications. Sasaki’s research, though early in citation impact, lays critical groundwork for energy-efficient, brain-inspired robot control systems.
Research Focus
Key Achievements
Top Papers
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