Papers
11
Total Citations
175
H-Index
6
About
Kazuki Nakada is a pioneering researcher in neuromorphic engineering and biologically inspired robotics, with a career-spanning focus on analog CMOS circuits that emulate neural control of locomotion. His most influential work, the 2003 paper on an analog CMOS central pattern generator (CPG) for quadruped interlimb coordination, has garnered 99 citations and established a foundational approach to building hardware that replicates the rhythmic neural activity underlying animal walking, running, and swimming. Nakada’s major contributions lie in translating biological CPG models—particularly those based on Matsuoka’s neural oscillator—into efficient, low-power analog integrated circuits using subthreshold CMOS and floating-gate devices. His designs, such as the current-mode CPG and reaction-diffusion cellular neural network (CNN) controllers, enable quadruped robots to achieve stable, adaptive gaits without digital processors. Beyond locomotion, Nakada has applied neuromorphic principles to collision warning systems for autonomous vehicles, demonstrating versatility in hardware neural networks. His work has accumulated over 170 citations, with notable achievements including analog IC implementations that bridge neuroscience and robotics. Nakada’s research continues to inspire students and engineers seeking energy-efficient, brain-inspired control systems for legged robots and embedded AI.
Research Focus
Key Achievements
Top Papers
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- 7An FPGA-based CollisionWarning System Using Hybrid Approach6 citations · 2007
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