Masaya Ohara
Papers
2
Total Citations
14
H-Index
2
About
Masaya Ohara is a pioneering researcher in bio-inspired robotics, specializing in the development of autonomous control systems for small-scale and microrobots. His core research focuses on gait generation for multilegged robots, leveraging hardware artificial neural networks (HNN) to mimic the continuous-time processing of biological neural networks found in living organisms. Ohara’s major contributions include the successful implementation of HNN integrated circuits (ICs) to drive both quadruped and hexapod-type microrobots, enabling them to locomote autonomously without conventional software-based controllers. His most-cited work, "Gait Generation of Multilegged Robots by using Hardware Artificial Neural Networks" (2018, 9 citations), establishes a foundational framework for embedding neural control directly into robot hardware. This is further advanced in his study on hexapod microrobots using an interstitial cell model-based HNN IC (2019, 5 citations), where he demonstrated the generation of four-phase pulse waveforms for coordinated leg movement. Ohara’s research is notable for bridging neuroscience and engineering, offering a compact, energy-efficient pathway toward truly autonomous, insect-inspired robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2