Justin Shapiro

Papers

Total Citations

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About

Justin Shapiro is a roboticist and autonomy researcher whose work focuses on coordinated control of heterogeneous unmanned marine vehicles. His key contributions lie in developing intelligent autonomy systems that enable unmanned surface vehicles (USVs) and unmanned underwater vehicles (UUVs) to collaborate effectively in dynamic ocean environments. Shapiro’s most cited paper, “Autonomy system for USV/UUV coordinated sampling” (2019), presents a novel framework that allows a Boeing-Liquid Robotics Wave Glider to optimally track a Teledyne-Webb Research Slocum Glider by exploiting environmental information. This work demonstrates how surface and underwater vehicles can share data and adapt their paths in real time, significantly improving sampling efficiency and mission reliability. With 4 citations, this paper has influenced follow-up studies in multi-vehicle coordination and adaptive sampling. Shapiro’s research is particularly notable for bridging the gap between theoretical autonomy algorithms and practical field operations, as evidenced by the operational results reported in his work. His contributions are valuable for students and researchers interested in marine robotics, cooperative control, and environmental monitoring.