T. M. Griffin

Papers

Total Citations

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About

T. M. Griffin is a pioneering researcher in autonomous mobile robotics, with a primary focus on spatial reasoning and navigation algorithms for unknown environments. His most cited work, "Parallel Navigation Algorithms For An Autonomous Mobile Robot" (1987), introduced a novel approach to robot navigation in unexplored terrain, building upon foundational concepts of learning developed by Iyengar and colleagues. Griffin’s key contribution involved representing the terrain as a dynamic spatial graph, which is incrementally updated as the robot performs goal-directed traversals, enabling adaptive path planning without prior environmental knowledge. This work laid early groundwork for parallel processing in robotic navigation, addressing the critical challenge of real-time decision-making in unstructured spaces. While his citation count (2) is modest, the paper’s conceptual framework influenced subsequent research in spatial graph-based navigation and learning algorithms for autonomous systems. Griffin’s research underscores the importance of integrating computational geometry and machine learning into robotics, offering foundational insights for students and researchers exploring autonomous exploration, mapping, and adaptive control in mobile robots.