Tatsuya Shinoda

Papers

Total Citations

H-Index

About

Tatsuya Shinoda is a robotics researcher whose work centers on autonomous mobile robot navigation, with a particular focus on integrating computer vision and GPS-based localization for real-world outdoor environments. His research addresses one of the fundamental challenges in robotics: enabling machines to determine their position and move reliably without human intervention in complex, uncontrolled settings. Shinoda's most notable contributions involve developing navigation systems that fuse differential GPS (DGPS) with vision-based landmark detection. By referencing environmental models, his systems allow robots to establish initial position and orientation, then navigate autonomously using visual cues — a practical and robust approach well-suited to outdoor deployment. His 2002 paper on this topic has accumulated 20 citations, reflecting sustained interest from the robotics community, while earlier foundational work from 1999 helped establish the conceptual groundwork for this methodology. Though Shinoda's citation profile remains modest in scale, his research represents meaningful early contributions to a field that has since grown enormously in relevance. Students exploring sensor fusion, autonomous navigation, or outdoor robotics will find his work a useful reference point for understanding how vision and GPS technologies can be combined to solve real-world localization challenges.