John Fertitta

Papers

Total Citations

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About

John Fertitta’s research focuses on advancing human-robot teaming through multimodal interaction and autonomous systems integration. His most-cited work, “Multimodal interaction for human-robot teams” (2013), explores how unmanned ground vehicles can support small dismounted teams in critical tasks such as facility mapping, security maintenance, and extended reconnaissance. By investigating intuitive communication methods—including speech, gesture, and touch—Fertitta has contributed to making autonomous systems more responsive and adaptable in dynamic, real-world environments. His work addresses the challenge of enabling robots to seamlessly integrate with human teams, enhancing their ability to provide persistent surveillance and operational support. With 5 citations, this paper has influenced subsequent research in human-robot collaboration and autonomous system design. Fertitta’s contributions are particularly relevant for researchers and students interested in the intersection of robotics, human factors, and team coordination, offering foundational insights into how robots can become effective partners in complex, high-stakes missions.