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12 June 2023 Challenges and opportunities for multi-agent autonomy for defending high-value targets (Conference Presentation)
Elijah S. Lee, Dinesh Jayaraman, Alejandro Ribeiro, Vijay Kumar
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Proceedings Volume 12544, Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2023; 125440F (2023) https://doi.org/10.1117/12.2663290
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States
Abstract
We discuss real-world challenges for multi-agent autonomy for defending high value targets using vision-based Unmanned Aerial Vehicles for detecting and intercepting adversarial intruders. Specifically, we address the defense of a hemispherical dome encapsulating high value targets. We discuss vision-based detection of intruders and the design of a control policy for pursuit and interception. We evaluate the performance of the algorithms in both the simulated environment and the real world. We extend the framework to multiple defenders and intruders using graph neural networks (GNNs). We show how GNNs can be trained on small graphs and deployed on large teams of defenders.
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Elijah S. Lee, Dinesh Jayaraman, Alejandro Ribeiro, and Vijay Kumar "Challenges and opportunities for multi-agent autonomy for defending high-value targets (Conference Presentation)", Proc. SPIE 12544, Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2023, 125440F (12 June 2023); https://doi.org/10.1117/12.2663290
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KEYWORDS
Defense and security
Robots
Unmanned aerial vehicles
Computer simulations
Defense systems
Detection and tracking algorithms
Neural networks
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