Makoto Iyoda
Papers
2
Total Citations
7
H-Index
2
About
Makoto Iyoda is a robotics researcher whose work centers on autonomous mobile systems and omnidirectional vision technology. His major contributions lie in developing self-positioning systems for mobile robots operating in outdoor environments. Iyoda’s key innovation involves an omnidirectional vision system (ODV) that uses two specially curved mirrors to capture panoramic images with minimal aberration, enabling robots to determine their location without relying on GPS or external markers. This approach allows for more robust and continuous self-localization in complex, real-world settings. His most cited paper, "A study of autonomous mobile system in outdoor environment. Part 5. Development of a self-positioning system with an omnidirectional vision system" (2002), has garnered 5 citations, while a closely related work, "A Self-Positioning System Using an Omnidirectional Vision" (2002), has 2 citations. Though his citation counts are modest, Iyoda’s work represents an early and foundational effort in using panoramic vision for robot navigation—a concept that has since become integral to fields like autonomous driving and drone navigation. His research demonstrates a practical, hardware-focused approach to solving the challenge of robot self-localization in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Self-Positioning System Using an Omnidirectional Vision.2 citations · 2002