Imran Zaidi

Papers

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About

Imran Zaidi is a pioneering roboticist best known for his work on intelligent, vision-based robotic systems, with a singular focus on developing a competitive pool-playing robot. His primary research areas encompass computer vision, robotics, and artificial intelligence, specifically applied to real-time, interactive environments. Zaidi’s major contribution is the creation of **Deep Green**, a robotic system designed to play pool at a level surpassing amateur human players, with the ultimate ambition of challenging a champion. His foundational paper, “Toward a Competitive Pool-Playing Robot” (2008), which has garnered **17 citations**, details the system’s reliance on advanced computer vision for cue ball tracking and shot planning. In his earlier work (2007), Zaidi explored whether computational intelligence is essential for such a task, laying the groundwork for integrating AI into physical gameplay. Though his citation count is modest, Zaidi’s work stands out for its ambitious, cross-disciplinary approach—merging mechanical engineering, real-time image processing, and strategic decision-making. His research offers a compelling case study in applying robotics to precision sports, inspiring future work in autonomous systems that interact with dynamic, unstructured environments.