Kei Otomo
Papers
1
Total Citations
6
H-Index
1
About
Kei Otomo is a robotics researcher whose work focuses on autonomous navigation in complex, unstructured environments, with a particular emphasis on urban settings. His key contributions lie in path planning and perception for mobile robots operating without prior maps. Otomo’s most cited paper, "Path Planning Using a Flow of Pedestrian Traffic in an Unknown Environment" (2023, 6 citations), introduces a novel method that leverages observed pedestrian and robot movement trajectories to construct path graphs for global navigation. This approach, developed in the context of the Tsukuba Challenge, enables autonomous rovers to navigate safely and efficiently in crowded, unknown urban spaces by learning from the natural flow of traffic. Otomo’s work addresses a critical gap in robotics—how to operate seamlessly in human-centric environments without relying on pre-built maps. His research has significant implications for last-mile delivery robots, assistive mobility devices, and autonomous exploration in dynamic settings. By combining real-time observation with intelligent path planning, Otomo is advancing the frontier of truly autonomous urban navigation.
Research Focus
Key Achievements
Top Papers
- 1