Junya Yamamoto
Papers
2
Total Citations
4
H-Index
2
About
Junya Yamamoto is a rising researcher in human-robot interaction, with a focused expertise in physical human-robot collaboration and haptic communication. His major contribution lies in investigating how a robot’s physical properties—specifically, the stiffness of its hand—affect the dynamics of human-robot object handovers. In his most-cited work (2024, 2 citations), Yamamoto demonstrates that by modulating and presenting the stiffness of a robot hand to a human partner, the mutual understanding and intention during a handover task can be significantly improved. This research addresses a critical gap in collaborative robotics: the need for intuitive, non-verbal communication between humans and machines. By showing that a robot’s mechanical compliance can serve as a channel for conveying intent, Yamamoto’s work paves the way for smoother, more natural human-robot teamwork in settings like manufacturing, healthcare, and assistive robotics. His findings offer a foundational step toward designing robots that can physically “speak” to their human counterparts, enhancing safety and efficiency in shared tasks.
Research Focus
Key Achievements
Top Papers
- 1
- 2