Sean A. Lisse

Papers

Total Citations

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About

Sean A. Lisse is a researcher whose work sits at the intersection of artificial intelligence, robotics, and human-machine teaming. His primary research areas include adjustable autonomy, deontic logic, and the command and control of robotic assets. Lisse’s most notable contribution is his 2006 paper, “A deontic implementation of adjustable autonomy for command and control of robotic assets,” which has garnered 4 citations. In this work, he pioneered a novel approach to managing robotic systems by integrating deontic principles—the logic of permissions and obligations—with Joint Intention Theory. This framework allows for dynamic, context-sensitive adjustments of autonomy levels in simulated unmanned vehicles, enabling more flexible and reliable human-robot collaboration. The research was conducted under Soar Technology’s Intelligent Control Framework (ICF) project, demonstrating a practical application of theoretical concepts to real-world command and control challenges. Lisse’s work is particularly significant for its early exploration of how ethical and logical structures can inform autonomous decision-making, laying groundwork for later advances in adjustable autonomy. While his citation count is modest, his contributions are valued for their conceptual depth and foresight in addressing critical issues of trust and control in autonomous systems.