Year: 2025
Type: article
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.
Source: AI Magazine
DOI: 10.1002/aaai.70020
Authors: Evana Gizzi, Connor Firth, Caleb Adams, James Berck, P. Timothy Chase Jr, Christian Cassamajor‐Paul, Rachael Chertok, Lily Clough, Jonathan Davis, Melissa De La Cruz, Matthew Dosberg, Alan Gibson, Jonathan Hammer, Ibrahim Haroon, Michael A. Johnson, Brian Kempa, James Marshall, Patrick Maynard, Brett McKinney, Leyton McKinney, Michael Monaghan, Robin Onsay, Hayley Owens, Sam Pedrotty, Daniel Rogers, Mahmooda Sultana, Jivko Sinapov, Bethany Theiling, Aaron Woodard, Caroline Zouloumian, Connor Williams
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,400
OpenAlex ID: W4414182171