Raymond Young

Papers

Total Citations

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About

Raymond Young’s research lies at the intersection of marine robotics, autonomy, and environmental sampling, with a focus on coordinated operations between unmanned surface and underwater vehicles. His most cited work, “Autonomy system for USV/UUV coordinated sampling” (2019), introduces a pioneering framework that enables a Boeing-Liquid Robotics Wave Glider to autonomously track a Teledyne-Webb Research Slocum Glider by leveraging real-time environmental data. This system represents a significant contribution to multi-vehicle oceanographic sampling, allowing for more efficient and adaptive data collection in dynamic marine environments. The paper’s operational results demonstrate the practical viability of such coordinated autonomy, laying groundwork for future autonomous fleet deployments. While his citation count is still growing, Young’s work is notable for its direct application to field robotics and its potential to transform how researchers monitor oceanographic phenomena. His contributions are particularly relevant for students and researchers interested in marine autonomy, sensor networks, and the integration of AI-driven decision-making into real-world robotic systems.