Minami Kaneko
Papers
12
Total Citations
63
H-Index
5
About
Minami Kaneko is a robotics researcher specializing in biologically inspired microrobotics, hardware neural networks, and biomechanical locomotion control. Their work sits at a compelling intersection of MEMS fabrication, neuromorphic engineering, and insect-inspired robotics, addressing one of the field's most formidable challenges: creating fully autonomous, millimeter-scale robotic systems with integrated actuation, sensing, and control. Kaneko's most significant contributions center on hardware artificial neural networks (HNN) and their application to robotic gait generation. Their 2018 paper on neural network IC-controlled multi-legged walking MEMS robots, which has garnered 16 citations, demonstrated that biologically plausible pulse-type neural circuits could govern complex locomotion in miniaturized systems. Complementary work on electrostatic inchworm motors and heterogeneous microrobot integration further advanced the practical realization of insect-scale autonomous robots. Beyond microrobotics, Kaneko has extended these neuromorphic principles to human musculoskeletal modeling, exploring low-power central pattern generator designs for walking and running control. Their pulse-type hardware neural network mimicking spinal cord function reflects a broader ambition to translate biological neural architecture into deployable engineering systems. With a steadily growing citation record across robotics, MEMS, and neural computing, Kaneko represents an important voice in bioinspired autonomous systems research.
Research Focus
Key Achievements
Top Papers
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- 6Pulse-type hardware neural network mimicking spinal cord function4 citations · 2021
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