Publication Date
8-2025
Document Type
Other
Abstract
Infusing artificial intelligence algorithms into production aerospace systems can
be challenging due to costs, timelines, and a risk-averse industry. We introduce
the Onboard Artificial Intelligence Research (OnAIR) platform, an open-source
software pipeline and cognitive architecture tool that enables full life cycle AI
research for on-board intelligent systems. We begin with a description and user
walk-through of the OnAIR tool. Next, we describe four use cases of OnAIR for
both research and deployed onboard applications, detailing their use of OnAIR
and the benefits it provided to the development and function of each respective scenario. Lastly, we describe two upcoming planned deployments which will leverage OnAIR for crucial mission outcomes. We conclude with remarks on
future work and goals for the forward progression of OnAIR as a tool to enable a
larger AI and aerospace research community.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Gizzi, Evana; Firth, Conner; Adams, Caleb; Berck, James; Chase, P. Timothy Jr.; Cassamajor-Paul, Christian; Chertok, Rachael; Cloug, Lily; Davis, Jonathan; De La Cruz, Melissa; Dosberg, Matthew; Gibson, Alan; Hammer, Jonathan; Haroon, Ibrahim; Johnson, Michael A.; Kempa, Brian; Marshall, James; Maynard, Patrick; McKinney, Brett; McKinney, Leyton; Monaghan, Michael; Onsay, Robin; Owens, Hayley; Pedrotty, Sam; Rogers, Daniel; Sultana, Mahmooda; Sinapov, Jivko; Theiling, Bethany; Woodard, Aaron; and Zouloumian, Caroline, "OnAIR: Applications of the NASA On-Board Artificial Intelligence Research Platform" (2025). Other, Smith College, Northampton, MA.
https://scholarworks.smith.edu/csc_etd/1
Comments
Published 2025. This article is a U.S. Government work and is in the public domain in the USA. AI Magazine published by John Wiley & Sons Ltd on behalf of Association
for the Advancement of Artificial Intelligence.