Suguru Mototani
Papers
2
Total Citations
13
H-Index
2
About
Suguru Mototani is a researcher focused on advancing human-robot interaction through augmented reality (AR) and teleoperation systems. His work centers on integrating real-time sensor data—particularly from 3D LiDAR and 360-degree cameras—to enhance operator situational awareness in remote mobile robot control. In his most-cited paper (2021, 10 citations), Mototani proposed a novel AR video presentation system that overlays 3D LiDAR information onto live 360-degree video feeds, enabling operators to perceive depth and spatial relationships intuitively during teleoperation. A related study (2021, 3 citations) extended this concept by using broader sensing data to support operator decision-making. These contributions address critical challenges in teleoperation, such as limited field of view and depth perception, making remote control safer and more efficient. Mototani’s work bridges robotics, computer vision, and human factors, offering practical solutions for applications in hazardous environments, logistics, and exploration. His research demonstrates how AR can transform raw sensor streams into actionable visual guidance, paving the way for more immersive and effective human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 2