Keith McGreggor

Papers

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About

Keith McGreggor is a researcher whose work sits at the intersection of artificial intelligence, robotics, and human-robot interaction, with a particular focus on how machines can interpret and respond to human behavior. His most cited paper, "Visual Case Retrieval for Interpreting Skill Demonstrations" (2015), explores how robots can learn from observing human actions, a contribution that has garnered 10 citations and speaks to his interest in case-based reasoning and visual perception. In his earlier work, "The interplay of context and emotion for non-anthropomorphic robots" (2010), McGreggor tackled a nuanced challenge: how household robots—which often lack human-like forms—can effectively use emotional cues to become more intuitive and trustworthy companions. This paper, while less cited, raises foundational questions about the role of context in designing emotive behavior for non-humanoid machines, a topic increasingly relevant as robots enter everyday homes. McGreggor’s research bridges cognitive science and engineering, offering insights into how robots can not only perform tasks but also communicate in ways that feel natural to humans. His work is particularly valuable for students and researchers interested in making AI more socially aware and accessible.