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About

Gregory M. Gremillion is a leading researcher at the intersection of human-autonomy teaming and cognitive engineering, with a focus on designing artificial intelligence that enables seamless collaboration between humans and robots. His work is critical to advancing human-robot interaction (HRI) in high-stakes, tactical environments. Gremillion’s most influential contribution is the development of a conceptual toolkit for measuring trust in human-autonomy teams, a foundational paper that has garnered 38 citations and provides a structured framework for assessing the critical, yet elusive, element of trust in AI partnerships. He further explores the dynamics of shared understanding through his work on multi-agent playbooks and cyber-human approaches for learning human intention. To support the broader research community, Gremillion has created valuable datasets, such as the RW4T Dataset, which captures human-robot behavior and cognitive states during simulated disaster response. His research also addresses practical challenges like quantifying workload variations during collaboration to enhance team fluency. By emphasizing the indispensable role of humans in AI development, Gremillion’s work is shaping the future of resilient, intelligent systems for the tactical edge.