Josh Kelle

Papers

Total Citations

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About

Josh Kelle is a researcher in robotics and computer vision, with a primary focus on real-time object detection for autonomous systems. His most cited work, "Fast and Precise Black and White Ball Detection for RoboCup Soccer" (2018), has garnered 25 citations and addresses a critical challenge in robotic soccer: achieving rapid, accurate ball detection under dynamic, low-latency constraints. Kelle’s contribution lies in developing a lightweight algorithm that balances speed and precision, enabling robots to track and interact with objects in competitive environments. This work has practical implications beyond RoboCup, influencing fields like industrial automation and autonomous navigation where efficient visual processing is essential. By prioritizing computational efficiency without sacrificing accuracy, Kelle has advanced the reliability of vision-based systems in real-world applications. His research underscores the importance of robust perception in robotics, and his findings continue to inform both academic studies and practical implementations in the RoboCup community and related domains.