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ARMOR: Resilient UAV Control Against Attacks by suhanazrin.s3 is a document available to read on EtoBox.

What is ARMOR: Resilient UAV Control Against Attacks about?

The document presents ARMOR, a robust reinforcement learning-based controller designed for Unmanned Aerial Vehicles (UAVs) to operate safely under physical attacks such as GPS spoofing. ARMOR employs a two-stage training framework, where a teacher encoder uses privileged attack information to create a robust latent state representation, and a student encoder adapts this representation using only historical sensor data for real-world deployment. Experimental results indicate that ARMOR outperforms traditiona

Author

suhanazrin.s3

Language

EN