Paper
12 June 2023 Delivering on the promise of autonomous agents in the battlefield
John M. Fossaceca
Author Affiliations +
Abstract
As the Army begins to deliver on the promise of autonomous agents including unmanned ground and air vehicles and other intelligent agents the focus has shifted from functionality to robustness and resilience. Intelligent systems must not only be capable of performing specific tasks, but they must also do it in a manner that is resilient to the dynamism of real-world environments and adapt to the unexpected including adversaries. This paper surveys some of the recent research and breakthroughs towards robust and resilient autonomy, some of the keys to achieving systems that learn rapidly in new environments, and that demonstrate the ability deal with uncertainty through various means including leveraging human knowledge to greatly speed up the learning process.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John M. Fossaceca "Delivering on the promise of autonomous agents in the battlefield", Proc. SPIE 12538, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V, 1253816 (12 June 2023); https://doi.org/10.1117/12.2663186
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KEYWORDS
Machine learning

Army

Autonomous vehicles

Artificial intelligence

Evolutionary algorithms

Robotics

Navigation systems

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