Yuichi Mizukoshi
Papers
1
Total Citations
6
H-Index
1
About
Yuichi Mizukoshi is a researcher advancing human-robot interaction, with a focus on teleoperation systems for disaster response. His work centers on reducing cognitive load and motion sickness in operators using head-mounted displays (HMDs) for master-slave control of humanoid robots. His most cited paper (2020, 6 citations) introduces a novel zoom method based on typical gaze movement, which automatically adjusts the operator’s field of view to enhance precision during tasks like robot arm manipulation. This contribution addresses a critical challenge in teleoperation: balancing detailed visual feedback with operator comfort and efficiency. Mizukoshi’s research builds on prior investigations into automatic zoom techniques, aiming to make remote control of robots more intuitive and less physically taxing. While his citation count reflects an emerging career, his work holds practical significance for real-world applications in hazardous environments, such as search-and-rescue missions. By prioritizing human factors in system design, Mizukoshi is helping to shape safer, more effective teleoperation interfaces for the next generation of robotic responders.
Research Focus
Key Achievements
Top Papers
- 1