Pritam Dash and Karthik Pattabiraman, University of British Columbia
Abstract:
This tutorial explores how physical sensor attacks compromise the safety and control of Robotic Autonomous Vehicles (RAVs), with a focus on state estimation failures. It will present and compare attack recovery techniques for both traditional PID-based and deep reinforcement learning (Deep-RL) controlled RAVs, including software sensors, feed-forward control, and multi-objective adversarial training. Through a mix of lectures and hands-on virtual activities, participants will learn to analyze attacks and apply resilient control strategies across different RAV architectures.
