Andrew Morton

Papers

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About

Andrew Morton’s research centers on human-robot interaction, with a particular focus on the challenges of scaling operator control in unmanned vehicle systems. His most-cited work, a 2012 literature review on human-robot interaction, synthesizes key findings from the field, highlighting the persistent difficulty of achieving a one-to-many operator-to-robot ratio, especially in military applications. Though his paper has garnered 3 citations, it serves as a foundational reference for researchers grappling with the cognitive and technological barriers to multi-robot control. Morton’s contribution lies in clearly framing the gap between current capabilities and the ambitious goal of inverse human-robot ratios, offering a roadmap for future work. His review underscores the importance of designing intuitive interfaces and decision-support tools to reduce operator workload, a challenge that remains central to advancing autonomous systems. For students and researchers entering this domain, Morton’s work provides a concise entry point into the complexities of human-robot teaming, emphasizing that the path to scalable control is as much about understanding human limitations as it is about robot autonomy.