Noboru NAGAMI
Papers
1
Total Citations
2
H-Index
1
About
Noboru Nagami is a researcher in robotics and autonomous systems, with a focus on bio-inspired locomotion and machine learning. His key research areas include snake-like robot control, central pattern generators (CPGs), and reinforcement learning for goal-oriented behavior. Nagami’s major contribution lies in integrating CPGs with reinforcement learning to enable snake-like robots to autonomously acquire the ability to reach targets. In his most cited work, “Acquisition of Goal-Oriented Behavior for Snake-Like Robot by CPG and Reinforcement Learning” (2017), he demonstrated how CPGs generate rhythmic motor patterns while reinforcement learning optimizes motor offset values, allowing the robot to adapt its behavior to its physical constraints. Notably, he equipped the robot with a Raspberry Pi and webcam, enabling fully autonomous target acquisition without external computation. Although his citation count is modest (2 citations for this paper), the work represents a meaningful step toward self-adaptive, bio-inspired robotic systems. Nagami’s research is valuable for students and researchers interested in combining neural oscillators with learning algorithms for real-world robot autonomy.
Research Focus
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Top Papers
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