Yuriko Yoshikawa
Papers
1
Total Citations
13
H-Index
1
About
Yuriko Yoshikawa’s research lies at the intersection of human-robot interaction and teleoperation, with a focus on how robots can communicate non-verbally to improve pedestrian experiences. Her most-cited work, “Expression of intention by rotational head movements for teleoperated mobile robot” (2018, 13 citations), addresses a fundamental challenge: making robot motions intuitively understandable to humans. By studying how a teleoperated mobile robot’s head rotations can convey intention—such as turning to indicate a direction change—Yoshikawa demonstrates that subtle, human-like movements can significantly enhance people’s impressions and trust in robots. This contribution is pivotal for designing robots that navigate shared spaces with pedestrians, where clear, non-verbal cues are essential for safety and social acceptance. Yoshikawa’s work bridges robotics and cognitive science, offering practical insights for teleoperated systems in public environments. Her research has been recognized for its potential to improve human-robot collaboration, and she continues to explore how expressive robot behaviors can foster more natural interactions. With a growing citation record, Yoshikawa is a rising voice in making robots more socially aware and communicative.
Research Focus
Key Achievements
Top Papers
- 1