Papers
6
Total Citations
267
H-Index
6
About
Andrzej Uszok is a leading researcher in artificial intelligence, specializing in human-agent-robot teamwork, adjustable autonomy, and ontology-based policy management. His work has been instrumental in bridging the gap between autonomous systems and human operators, particularly in high-stakes environments like space applications. Uszok’s most significant contribution is the development of the KAoS policy management framework, which pioneered the use of semantically-rich ontological representation and reasoning to specify, analyze, deconflict, and enforce policies for multi-agent systems. This framework, detailed in his highly cited 2008 paper (81 citations), has evolved over the years to address practical challenges in coordination and teamwork. His seminal 2003 paper on adjustable autonomy (90 citations) laid the groundwork for understanding how autonomy can be dynamically adjusted in human-agent teams, while his 2009 work on joint activity (34 citations) advanced the concept of treating AI systems as teammates rather than tools. Uszok’s research has been applied in NASA and military field experiments, demonstrating the real-world impact of his teamwork-centered autonomy approach. With over 250 total citations, his work continues to shape the future of collaborative human-robot systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3From Tools to Teammates: Joint Activity in Human-Agent-Robot Teams34 citations · 2009
- 4Coordination in Human-Agent-Robot Teamwork28 citations · 2008
- 5
- 6Kaa15 citations · 2005