Eric Gallimore

Scripps Institution of Oceanography, Woods Hole Oceanographic Institution

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About

Eric Gallimore is a leading researcher in autonomous underwater vehicle (AUV) systems and human-robot teaming, with a focus on enhancing undersea operations through advanced sensor integration and collaborative autonomy. His most influential work, "Robot Operating System (ROS) on the REMUS AUV using RECON" (2018, 26 citations), pioneered the integration of ROS with the REMUS 100 AUV via the RECON backseat interface, creating a flexible testbed for autonomous sense-and-react capabilities. This contribution significantly advanced sensor processing and modular software architecture for underwater robotics. Gallimore’s later research, "Loosely-Coupled Human-Robot Teams for Enhanced Undersea Operations" (2022), tackles the critical challenge of diver-AUV collaboration, developing novel localization and navigation algorithms that enable accurate subsurface teaming without ocean surface support. By validating state estimation and communication protocols for diver guidance, his work pushes the boundaries of practical human-robot interaction in extreme environments. Gallimore’s contributions are foundational for researchers exploring autonomous systems, marine robotics, and cooperative human-machine teams, offering scalable solutions for real-world undersea missions.