The goal of this workshop is to discuss recent advances and research trends in the design of provably robust and resilient autonomy for safety-critical systems. The last decade has witnessed a dramatic increase in the presence of autonomous systems in many domains, including advanced air mobility, autonomous driving, and defense systems. Many of these systems are built using costly hardware and might operate in uncertain and off-nominal environments while interacting with humans and other agents. As potential failures can have catastrophic economic and societal consequences, the reliable deployment of these autonomous systems critically depends on the systems’ robustness and resilience in the presence of uncertain and off-nominal conditions. 

Ensuring safe, robust and resilient autonomy faces a number of challenges. The broad topics that will be discussed in this workshop include, but are not limited to, (i) robust, adaptive, and learning-based control; (ii)  integrated perception, planning, and control under uncertainties; (iii) runtime monitoring, fault detection, and mission (re-)planning; (iv) fast reachability analysis; (v) scalable verification and validation methods; and (vi) platforms and experiments design for robustness and resilience evaluation.