Yuki Ikeda
Papers
1
Total Citations
2
H-Index
1
About
Yuki Ikeda is a robotics researcher whose work bridges biological inspiration and hardware implementation, with a primary focus on quadruped locomotion and neural network-based control systems. Their most-cited paper, "Development of quadruped robot with locomotion rhythm generator using pulse-type hardware neural networks" (2015), introduces a novel approach to generating stable, rhythmic gaits in legged robots by mimicking the neural circuits found in animals. This work contributes to the field of bio-inspired robotics, demonstrating how pulse-type hardware neural networks can replace traditional software-based controllers, enabling more efficient and autonomous movement in robotic platforms. While their citation count is modest, the research holds significance for advancing energy-efficient, real-time locomotion in quadruped robots—a key challenge in robotics. Ikeda’s contributions are particularly relevant for students and researchers interested in neuromorphic engineering, embedded systems, and the intersection of biology and machine design. Their work lays groundwork for future developments in autonomous robots capable of navigating complex terrains without heavy computational overhead.
Research Focus
Key Achievements
Top Papers
- 1