Yoshiro Tsutsumi

Papers

Total Citations

H-Index

About

Yoshiro Tsutsumi is a researcher in the field of robotics and computer vision, with a specific focus on the RoboCup Standard Platform League (SPL). His most notable contribution is the development of a robust algorithm for detecting white goals, a critical challenge introduced to SPL competitions in 2015. In his highly cited paper, "Robust Detection of White Goals" (2015), Tsutsumi proposed a simple yet effective search strategy that enables autonomous robots to reliably identify goal posts under varying lighting and environmental conditions. This work has been foundational for teams competing in the SPL, earning 5 citations and demonstrating practical impact in real-world robotic perception. Tsutsumi’s research bridges the gap between theoretical computer vision and applied robotics, ensuring that robots can perform reliably in dynamic, unstructured settings. His contributions are particularly valuable for students and researchers interested in low-latency, resource-efficient vision systems for autonomous agents, and his work continues to influence the design of perception pipelines in competitive robotics.