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About

Jorrit Olthuis is a robotics researcher whose work sits at the intersection of autonomous systems, computer vision, and machine learning, with a particular focus on dynamic, real-world environments. As a key member of the Tech United Eindhoven team, Olthuis contributed directly to their 2019 Middle-Size League championship, a landmark achievement in robot soccer that demonstrates the practical application of multi-agent coordination and robust perception under competitive constraints. His most cited work, documenting this victory, has garnered 6 citations and serves as a reference point for teams striving to replicate that level of performance. More recently, Olthuis has advanced the field by integrating vision-based machine learning into robot soccer, a paper that, despite its recent publication in 2022, has already attracted attention for its novel approach to real-time object recognition and decision-making. His research is particularly notable for bridging the gap between controlled laboratory experiments and the unpredictable, fast-paced demands of physical sports, offering a testbed for algorithms that must operate with high reliability and low latency. Through his work, Olthuis is helping to shape the next generation of autonomous agents capable of perceiving and acting in complex, unstructured settings.