Ronald Marsh

Papers

Total Citations

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About

Ronald Marsh is a researcher whose work bridges the frontiers of robotics, cloud computing, and disaster response. His key research areas include autonomous systems, ad-hoc deployable cloud infrastructure, and search and rescue (SaR) robotics. Marsh's major contribution lies in addressing the ill-posed problem of autonomous SaR robot operations within dynamic disaster environments. He proposed a novel framework that leverages ad-hoc deployable cloud computing to dynamically allocate processing capabilities to responder robots as they navigate unpredictable terrains and tasks. This approach enables robots to scale computational resources on demand, enhancing their adaptability and efficiency during critical recovery efforts. While his most-cited paper, "Robotic disaster recovery efforts with ad-hoc deployable cloud computing" (2013), has garnered 2 citations, its conceptual impact is significant for the field of resilient robotics. Marsh's work is notable for its practical focus on real-world deployment challenges, offering a pathway to more robust and autonomous disaster response systems. His research continues to inspire innovations in cloud-robotic integration for emergency scenarios.