Miki Suetsugu
Papers
2
Total Citations
4
H-Index
2
About
Miki Suetsugu is a robotics researcher focused on advancing autonomous navigation for unmanned transport systems. Their core research addresses a critical challenge in industrial logistics: enabling transfer robots to safely detect and avoid obstacles without relying on predetermined routes. Suetsugu’s major contribution lies in developing a practical, cost-effective method for real-time obstacle detection using a combination of a standard camera and a line laser. This approach allows robots to perceive their environment dynamically, reducing collision risks when unexpected packages or objects appear in their path. While their most-cited works—"Proposal of a Method for Obstacle Detection by the Use of Camera and Line Laser" and "A Method for Detection of Obstacle Using Line Laser and Camera"—each have 2 citations, these papers represent foundational steps toward more flexible, safer warehouse automation. Suetsugu’s work is particularly notable for its emphasis on simplicity and applicability, aiming to make obstacle detection technology accessible for widespread industrial use. As demand for agile, route-independent robots grows, Suetsugu’s laser-camera fusion method offers a promising pathway for enhancing the reliability of unmanned transport in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Method for Detection of Obstacle Using Line Laser and Camera2 citations · 2019