Kaito Koike
Papers
1
Total Citations
3
H-Index
1
About
Kaito Koike is a researcher at the forefront of human-robot interaction, with a particular focus on ontologies and group dynamics. His work explores how robots can engage in meaningful, structured conversations with multiple humans simultaneously, moving beyond one-on-one interaction. His most-cited paper, "Ontologies-Based Pupil Robot Interaction with Group Discussion" (2019, 3 citations), lays the groundwork for robots that can facilitate and participate in group discussions by leveraging ontological frameworks to understand context and manage dialogue. This contribution is pivotal for the future of service robots, which are expected to become commonplace in classrooms, offices, and public spaces over the next few decades. By addressing the challenge of multi-party interaction, Koike’s research helps bridge the gap between current robotic capabilities and the sophisticated social intelligence required for seamless human-robot collaboration. His work signals a shift toward more autonomous, context-aware robots that can engage with groups, making him a notable voice in the evolving landscape of socially assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1Ontologies-Based Pupil Robot Interaction with Group Discussion3 citations · 2019