Yoshinao Ogawa
Papers
4
Total Citations
25
H-Index
3
About
Yoshinao Ogawa is a robotics researcher whose work centers on autonomous mobile robot navigation, localization, and multi-robot coordination. His research addresses some of the most fundamental challenges in mobile robotics: how robots perceive their environment, determine their position, and navigate safely and efficiently through complex spaces. Among his most notable contributions is a self-positioning system that leverages digital mark patterns mounted on ceilings, read by onboard CCD cameras using Grey code encoding, offering a practical and reliable approach to indoor robot localization. This work, which has garnered 10 citations, demonstrates Ogawa's interest in combining computer vision with autonomous systems. Complementing this, his navigation research introduced real-time local map-building techniques for sonar-equipped robots operating in unknown environments, enabling effective obstacle avoidance and path planning — work that has attracted 9 citations and reflects a strong commitment to practical, deployable robotics solutions. Ogawa has also contributed to the challenging problem of multi-robot coordination, proposing modifications to cooperative collision avoidance algorithms using an avoidance circle framework. Collectively, his body of work reflects a researcher dedicated to advancing the autonomy, safety, and spatial awareness of mobile robotic systems in real-world settings.
Research Focus
Key Achievements
Top Papers
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