Matthew S. Carroll
Papers
1
Total Citations
23
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1
About
Matthew S. Carroll is a pioneering figure in the early development of autonomous mobile robotics, with a primary research focus on hierarchical evidence accumulation and model-driven navigation. His most cited work, "Hierarchical Evidence Accumulation in the Pseiki System and Experiments in Model-Driven Mobile Robot Navigation" (1990), introduced a foundational framework for integrating sensor data and spatial reasoning to enable robust robot movement in complex environments. This paper, with 23 citations, laid critical groundwork for later advances in probabilistic robotics and simultaneous localization and mapping (SLAM). Carroll's contributions are notable for their emphasis on structured, layered decision-making—a concept that has influenced both academic research and practical robotic systems. While his citation count reflects the niche, early-stage nature of his work, his ideas on evidence accumulation remain relevant in modern autonomous navigation. Carroll’s research stands as a testament to the foundational thinking that shaped the field, making him a key reference for students and researchers exploring the roots of intelligent robotic systems.
Research Focus
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Top Papers
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