Advance the state of the art in low-thrust mission design by developing innovative, artificial intelligence-based (reinforcement learning) techniques for designing trajectories resilient to missed thrust events (MTEs). Develop a prototype tool employing the advanced algorithms. Demonstrate increased resilience, coverage, and reduction in analysis time as compared to current techniques.

Develop methods for designing low thrust trajectories that are resilient to trajectory uncertainties and anomalies such as temporary thrust outages. Mission trajectory design is currently a deterministic process. Methods for dealing with uncertainties are coarse and labor intensive.