Tomoyuki Nagahashi
Papers
2
Total Citations
12
H-Index
2
About
Tomoyuki Nagahashi’s research centers on computer vision and robotics, with a particular focus on robust visual feedback for autonomous systems. His major contribution lies in developing methods for accurate object orientation and identification detection without relying on color segmentation—a critical challenge in dynamic, real-world environments. His most-cited work, presented in 2006 and 2007, demonstrates a vision system designed for the RoboCup Small Sized League (F180) that remains resilient to unknown and varying lighting conditions, enabling more reliable robot control. Each paper has garnered 6 citations, reflecting their foundational role in advancing robust vision for multi-agent robotic systems. Nagahashi’s approach addresses a key limitation of traditional color-based segmentation, which often fails under unpredictable illumination, and his work has influenced subsequent research in global vision systems for competitive robotics. By prioritizing accuracy and robustness, his contributions have helped pave the way for more adaptive and dependable autonomous agents in both academic and applied settings.
Research Focus
Key Achievements
Top Papers
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- 2