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About

Kyle J. Morris is a robotics researcher whose work spans human-robot interaction, entertainment robotics, and multi-robot systems. He is perhaps best known for his pioneering research into robot magic performances, an innovative domain that uses the theatrical context of magic shows to explore how humanoid robots can engage authentically and robustly with live human audiences. His most cited work, "A robust interactive entertainment robot for robot magic performances" (2019, 25 citations), demonstrates his commitment to building reliable, expressive robotic systems capable of sustaining dynamic, unpredictable interactions in real-world settings. Alongside companion papers from 2018 exploring interaction design and learning within these performance contexts, Morris has helped establish entertainment robotics as a serious research frontier for studying engagement and adaptability. Beyond entertainment, Morris has contributed to the theoretical foundations of multi-robot systems, investigating how information invariants can be used to rigorously compare swarm algorithms with general multi-robot approaches — work that bridges decentralized emergent behavior and broader coordination paradigms. Collectively, his research reflects a dual focus: making robots more engaging and socially capable for human audiences, while deepening our formal understanding of how robot collectives process and act on information.