Papers
1
Total Citations
25
H-Index
1
About
Onur Sert is a researcher whose work lies at the intersection of multi-robot systems, human-robot interaction, and adjustable autonomy. His most cited contribution, the "Multiagent Adjustable Autonomy Framework (MAAF)" (2008, 25 citations), addresses a critical challenge in tactical operations: how to dynamically balance control between human operators and heterogeneous robot teams. This framework enables multi-robot, multi-human teams to perform complex maneuvers by allowing agents to adjust their level of autonomy in real time based on mission context and human input. Sert’s work is foundational for developing flexible, scalable coordination in mixed human-robot teams, particularly in high-stakes environments like defense and search-and-rescue. His research has been supported by SBIR Phase I funding, underscoring its practical relevance. By tackling the problem of exploiting the unique capabilities of diverse team members, Sert has contributed to a more adaptive and effective future for collaborative autonomous systems.
Research Focus
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Top Papers
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