Daichi Nagashima
Papers
1
Total Citations
4
H-Index
1
About
Daichi Nagashima is a researcher in robotics and neuromorphic engineering, with a focus on bio-inspired locomotion and hardware neural networks. His most-cited work, "Gait pattern changing of quadruped robot using pulse-type hardware neural networks" (2016), explores the use of pulse-type neural networks to enable adaptive gait transitions in quadruped robots—a contribution that bridges computational neuroscience and practical robotics. Although his citation count is modest (4 citations for this paper), the work represents a foundational step in integrating spiking neural circuits into robotic control systems, offering insights into energy-efficient, decentralized locomotion. Nagashima’s research highlights the potential of hardware-based neural networks to mimic biological gait adaptation, a critical challenge for legged robots in unstructured environments. His contributions are particularly relevant for students and researchers interested in neuromorphic hardware, bio-inspired robotics, and the intersection of neural computation with mechanical design.
Research Focus
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Top Papers
- 1