Andrew C. Stephon

Papers

Total Citations

H-Index

About

Andrew C. Stephon’s research lies at the intersection of robotics, computer vision, and autonomous systems, with a particular focus on real-time target tracking for dynamic, multi-agent environments. His most notable contribution is the development of a camera-based target tracking system designed to enhance the performance of football-playing robots in modified-rule games. In this work, Stephon engineered a system where a throwing robot—the “quarterback”—is equipped with vision capabilities to accurately locate and track teammates, enabling coordinated plays in a fast-paced, unstructured setting. This application-driven approach demonstrates his ability to bridge theoretical algorithms with practical robotic challenges. While his highly cited paper has garnered 3 citations to date, it serves as a foundational piece for researchers exploring vision-based coordination in sports robotics and human-robot interaction. Stephon’s work is particularly valuable for students and engineers interested in low-cost, real-time tracking solutions that can be adapted to competitive robotics leagues or educational platforms. His research underscores the importance of integrating perception and action in autonomous systems, offering a tangible example of how computer vision can elevate robotic teamwork.