Papers
3
Total Citations
28
H-Index
3
About
M. Oohara is a robotics researcher whose work has made meaningful contributions to the field of autonomous mobile robot navigation and multi-robot systems. Their research centers on self-localization — the challenge of enabling robots to accurately determine their own position and orientation within an environment — with a particular focus on leveraging omnidirectional vision sensors to achieve this in real time. Oohara's most recognized contribution is the development of methods that allow multiple robots to simultaneously localize themselves by analyzing azimuth angles to both environmental landmarks and other robots, using multiple omnidirectional cameras. This elegant approach addresses a fundamental challenge in cooperative robotics: enabling a team of robots to share spatial awareness without relying on external positioning systems. Their 2001 work on estimating spatial configurations using triangle and enumeration constraints garnered 12 citations, while related self-localization frameworks from 2003 added further depth to this research thread. Though operating in a highly specialized niche, Oohara's methodologies represent an important step toward robust, scalable multi-robot coordination — work that laid conceptual groundwork relevant to today's swarm robotics and autonomous vehicle research communities.
Research Focus
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