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Completed TRL 4 (started at 3, targeting 4)
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.
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This is early/mid-stage (TRL 4) — the most realistic path in is NASA SBIR/STTR, which funds small businesses and research institutions to develop technology aligned with NASA's needs (equity-free, phased funding). Check whether a current SBIR/STTR solicitation topic overlaps with this project's technology area, or contact the project directly (above) to ask.
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