Mika Kurosawa
Papers
2
Total Citations
8
H-Index
2
About
Mika Kurosawa is a pioneering researcher in bio-inspired robotics, specializing in hardware neural networks (HNN) for microrobot locomotion. Their work centers on developing compact, energy-efficient control systems that mimic biological neural circuits, enabling insect-type microrobots to generate adaptive gait patterns without conventional software-based processing. Kurosawa’s major contributions include the design and implementation of HNN integrated circuits (ICs) that produce multi-phase pulse waveforms to drive microrobot limbs. In their highly cited 2019 study, "Gait Pattern Generation of Hexapod-Type Microrobot Using Interstitial Cell Model Based Hardware Neural Networks IC," they successfully demonstrated hexapod locomotion using a custom HNN IC, building on prior quadruped systems. Their 2021 paper, "Neural networks integrated circuit with switchable gait pattern for insect-type microrobot," advanced this work by enabling switchable gaits, a critical step toward versatile, autonomous microrobots. Though early in their career, Kurosawa’s cumulative citations (8) reflect growing interest in their novel approach, which promises transformative applications in micro-manufacturing, environmental monitoring, and medical devices. Their work stands at the intersection of neuroscience, robotics, and VLSI design, offering a blueprint for lifelike, hardware-efficient robotic control.
Research Focus
Key Achievements
Top Papers
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