Seiji Tohyama

Papers

Total Citations

H-Index

About

Seiji Tohyama is a researcher whose foundational work in robotics and computer vision has contributed to the development of autonomous systems, particularly in the domain of multi-robot coordination. His most-cited paper, "Mosaic-Based Global Vision System for Small Size Robot League" (2006), addresses a critical challenge in robotic soccer: providing a global, accurate view of the playing field using a mosaic of camera images. This system enables small robots to perceive their environment in real time, a key capability for cooperative tasks in dynamic settings. While his citation count of 2 reflects a niche but impactful contribution, Tohyama’s work is notable for its practical application in the RoboCup Small Size League, where precise vision is essential for team strategy and ball tracking. His research bridges computer vision and robotics, offering a scalable solution for low-cost, high-performance global sensing. Tohyama’s achievements underscore the importance of robust perception in enabling autonomous agents to operate effectively in shared spaces, making his work a valuable reference for students and researchers exploring vision-based localization and multi-agent systems.