Mark Allison

Papers

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About

Mark Allison is a pioneering researcher in human-robot teaming, with a focus on adaptive autonomy and situational awareness in high-stakes environments. His work addresses critical challenges in human-robot collaboration, particularly how fatigue degrades team performance by impairing spatial and situational awareness. In his 2023 paper "Autonomy and Fatigue in Human-Robot Teams," Allison developed frameworks for risk-aware leadership structures and dynamic autonomy allocation that account for human cognitive states—a contribution that bridges robotics, psychology, and human factors engineering. His 2024 work, "Towards Distributed Learning to Support Situational Awareness for Robotic Team Augmented Humanitarian Disaster Response," tackles the urgent need for real-time knowledge acquisition in hazardous environments. By enabling robots to perform pre-stabilization tasks in disaster zones, Allison's research directly enhances first responder safety and operational effectiveness. Though early in his career, his work has already garnered attention for its practical implications in emergency response and military applications. Allison's research stands at the intersection of distributed learning, cognitive load management, and team coordination, offering scalable solutions for human-robot teams operating under extreme conditions.