Geoffrey P. Morgan
Papers
1
Total Citations
4
H-Index
1
About
Geoffrey P. Morgan is a researcher whose work lies at the intersection of artificial intelligence, human-robot interaction, and multi-agent systems, with a particular focus on command and control architectures. His key research areas include adjustable autonomy, deontic logic, and the application of Joint Intention Theory (JIT) to robotic coordination. Morgan’s most notable contribution is his foundational 2006 paper, "A deontic implementation of adjustable autonomy for command and control of robotic assets," which has garnered 4 citations and introduced a novel framework for dynamically adjusting the autonomy levels of simulated unmanned vehicles. This work, developed within Soar Technology’s Intelligent Control Framework (ICF) project, leverages deontic principles—rules governing permissions, obligations, and prohibitions—to enable flexible, human-supervised robotic operations. By integrating deontic reasoning with JIT, Morgan provided a principled method for balancing human control and machine autonomy in complex, real-time scenarios. Though his citation count is modest, his early contributions have informed subsequent research in adjustable autonomy and robotic command systems, making his work a reference point for scholars exploring ethical and practical dimensions of autonomous systems. Morgan’s research continues to influence the design of safer, more responsive human-robot teams.
Research Focus
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Top Papers
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