Yutaro Tomoto
Papers
2
Total Citations
4
H-Index
2
About
Yutaro Tomoto is a researcher in human-robot interaction and evolutionary robotics, with a focus on how robots can interpret and express human-like features. His work bridges physiognomy, facial expression mechanisms, and decision-making systems for autonomous agents. In his 2010 paper on the Mechadroid Type C3, Tomoto explored how a high-degree-of-freedom facial expression robot could generate random expressions and be evaluated based on morphological and physiognomic characteristics—an early step toward making receptionist robots more socially intuitive. That paper has garnered 2 citations. In parallel, Tomoto contributed to the development of robot control systems by proposing a method that uses multi-valued decision diagrams (MDDs) to acquire action rules, improving upon prior binary-based approaches. This work, also from 2010 and with 2 citations, advances the field of evolutionary robotics by allowing more nuanced state representations. Though his citation counts are modest, Tomoto’s research sits at the intersection of robotics, artificial intelligence, and human perception, offering foundational insights into how robots can better understand and mirror human social cues.
Research Focus
Key Achievements
Top Papers
- 1
- 2Acquisition of robot control rules by evolving MDDs2 citations · 2010