OnAIR: Applications of the NASA On-Board Artificial Intelligence Research Platform
Evana Gizzi, Timothy Chase Jr, Christian Cassamajor-Paul, Rachael Chertok, Lily Clough, Connor Firth, Alan Gibson, Ibrahim Haroon
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. We conclude with remarks on future work, future planned deployments, and goals for the forward progression of OnAIR as a tool to enable a larger AI and aerospace research community.
BibTeX
@article{Gizzi_Chase Jr_Cassamajor-Paul_Chertok_Clough_Firth_Gibson_Haroon_Marshall_Maynard_Monaghan_Owens_Rogers_Sultana_Sinapov_Theiling_2025, title={OnAIR: Applications of the NASA On-Board Artificial Intelligence Research Platform}, volume={39}, url={https://ojs.aaai.org/index.php/AAAI/article/view/35156}, DOI={10.1609/aaai.v39i28.35156}, abstractNote={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. We conclude with remarks on future work, future planned deployments, and goals for the forward progression of OnAIR as a tool to enable a larger AI and aerospace research community.}, number={28}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Gizzi, Evana and Chase Jr, Timothy and Cassamajor-Paul, Christian and Chertok, Rachael and Clough, Lily and Firth, Connor and Gibson, Alan and Haroon, Ibrahim and Marshall, James and Maynard, Patrick and Monaghan, Michael and Owens, Hayley and Rogers, Daniel and Sultana, Mahmooda and Sinapov, Jivko and Theiling, Bethany}, year={2025}, month={Apr.}, pages={28893-28899} }