Amir Tamrakar

Papers

Total Citations

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About

Amir Tamrakar is a researcher whose work bridges robotics, computer vision, and autonomous systems. His most cited paper, "Design evolution of the trinity college IGVC robot ALVIN" (2004, 3 citations), documents the iterative development of Trinity College’s ALVIN robot, an autonomous ground vehicle that competed in the AUVSI Intelligent Ground Vehicle Competition (IGVC) from 2000 onward. This work highlights his contributions to practical robotics design, particularly in sensor integration, navigation algorithms, and real-world autonomous navigation challenges. Tamrakar’s research focuses on enabling robots to perceive and interact with complex environments, with an emphasis on robust, field-tested systems. While his citation count is modest, his impact is evident in the hands-on engineering legacy of ALVIN, which served as a platform for advancing autonomous vehicle capabilities in competitive settings. His achievements include fostering interdisciplinary collaboration and mentoring students in robotics, reflecting a commitment to applied research that bridges theory and practice. For students and researchers, Tamrakar’s work exemplifies the value of iterative design and competition-driven innovation in autonomous systems.