Yusuke Kanai

Papers

Total Citations

H-Index

About

Yusuke Kanai’s research lies at the intersection of human-robot interaction and educational robotics, with a focus on how people teach and collaborate with robotic systems. His work investigates the nuanced dynamics of pedagogical relationships in human-robot interaction, exploring how a robot’s behavior can facilitate effective learning from human instructors. Kanai’s studies on gesture-based communication—such as how users naturally ask a robotic arm for help with tasks like soldering—highlight his interest in intuitive, non-verbal interfaces that make robotic assistance more accessible. While his most-cited papers have garnered modest citation counts (6 and 4, respectively), they represent foundational contributions to understanding the social and cognitive aspects of human-robot teaching and cooperation. Kanai’s research is particularly valuable for designing robots that can learn from humans in real-world settings, emphasizing the importance of reciprocal interaction and clear communication. His work offers practical insights for developing educational robots and collaborative robotic assistants, making him a notable figure in the growing field of socially aware robotics.