Yuto Kodama
Papers
1
Total Citations
6
H-Index
1
About
Yuto Kodama is a researcher whose work sits at the intersection of robotics, artificial intelligence, and autonomous systems. His primary research focus has been on developing intelligent control mechanisms for bipedal walking robots, a notoriously complex challenge due to the vast number of possible gaits. His most cited paper, "Controlling biped walking robots using genetic algorithms in mobile agent environment" (2006, 6 citations), introduced an innovative approach that leverages genetic algorithms to efficiently search for and optimize walking patterns. This work addressed the fundamental difficulty of finding optimal gaits for a given route, proposing a mobile agent framework that allows the control program to adapt in real-time. By framing gait optimization as an evolutionary process, Kodama’s contribution offers a scalable solution to one of robotics’ most persistent problems. While his citation count reflects a niche but dedicated audience, his research represents a meaningful step toward more autonomous and adaptive walking robots, with potential applications in assistive technology, exploration, and human-robot interaction.
Research Focus
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Top Papers
- 1