Robust and Resilient Autonomy for Advanced Air Mobility (AVIATE)

The long-term goal of this project is to develop a Robust and Resilient Autonomy framework with principled and verifiable architectures to deal with uncertainties and off-nominal situations to enable safe and efficient Advanced Air Mobility.

The proposed framework comprises a holistically-integrated perception, planning, and control pipeline, equipped with learning-enabled components and principled ways for uncertainty propagation and competence quantification. It also includes fast code-level verification tools tightly integrated into the development of the autonomy stack. For automated in-flight contingency management, the research will advance state-of-the-art fault detection and reachability analysis for mission replanning. Advanced algorithms and tools for resource allocation and sequential decision-making problems will also be developed to improve the efficiency and safety assurance of Advanced Air Mobility systems at both individual-vehicle and airspace levels.