Shota Samejima
Papers
1
Total Citations
9
H-Index
1
About
Shota Samejima is a researcher focused on advancing human-robot interaction and remote control systems through intelligent visual support. His key research areas include adaptive viewpoint selection, autonomous monitoring robotics, and teleoperation assistance. Samejima’s major contribution lies in developing a visual support system that enhances remote control efficiency by enabling an autonomous monitoring robot to dynamically evaluate and move to the optimal viewpoint, reducing operator cognitive load and improving task stability. His most-cited work, “Visual support system for remote control by adaptive ROI selection of monitoring robot” (2018, 9 citations), demonstrates a practical approach to real-time visual assistance, where the robot actively selects the region of interest to provide the operator with the most relevant visual information. This work has been recognized for its potential in improving teleoperation in complex environments, such as disaster response or industrial settings. Samejima’s research bridges the gap between autonomous perception and human control, offering a scalable solution for safer and more intuitive remote operations. His contributions are valuable for students and researchers exploring human-robot collaboration, computer vision, and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1