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Application of Machine-learning Algorithms for On-board Asteroid Shape Model Determination and Spacecraft Navigation

Completed TRL 5 (started at 3, targeting 5)

Description

The Application of Machine-learning Algorithms for On-board Asteroid Shape Model Determination project will develop an innovative system for spacecraft navigation to expand the capability of small spacecraft to meet the critical challenges associated with small-body exploration.

Benefits

The Markov brain approach will supplant thousands of hours of human effort related to image-intensive optical navigation, stereophotoclinometry shape model generation, and natural-feature tracking terrain-relative navigation for successful operation about an asteroid.

Details

Technology areaGN&C > Navigation Technologies > Onboard Navigation Algorithms
ProgramSmall Spacecraft Technology (SST)
Lead organizationUniversity of Arizona, Tucson, AZ
Start date2018-03-03
End date2020-10-31

Project contacts

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How to get involved

This is early/mid-stage (TRL 5) — 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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