OnAIR: Applications of the NASA on‐board artificial intelligence research platform
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| Publicado en: | AI Magazine vol. 46, no. 3 (Sep 1, 2025) |
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| Autor principal: | |
| Otros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Publicado: |
John Wiley & Sons, Inc.
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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| 024 | 7 | |a 10.1002/aaai.70020 |2 doi | |
| 035 | |a 3251333243 | ||
| 045 | 2 | |b d20251001 |b d20251130 | |
| 084 | |a 15019 |2 nlm | ||
| 100 | 1 | |a Gizzi, Evana |u Space Autonomy Research (SPAR) Lab, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA | |
| 245 | 1 | |a OnAIR: Applications of the NASA on‐board artificial intelligence research platform | |
| 260 | |b John Wiley & Sons, Inc. |c Sep 1, 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 610 | 4 | |a National Aeronautics & Space Administration--NASA | |
| 653 | |a Space technology | ||
| 653 | |a Software | ||
| 653 | |a Robots | ||
| 653 | |a Aerospace industry | ||
| 653 | |a Aerospace systems | ||
| 653 | |a Research & development--R&D | ||
| 653 | |a Community research | ||
| 653 | |a Cognition & reasoning | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Decision making | ||
| 653 | |a Algorithms | ||
| 653 | |a Research applications | ||
| 653 | |a Research | ||
| 653 | |a Knowledge representation | ||
| 653 | |a Interfaces | ||
| 653 | |a Economic | ||
| 700 | 1 | |a Firth, Connor |u Space Autonomy Research (SPAR) Lab, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA | |
| 700 | 1 | |a Adams, Caleb |u NASA Ames Research Center (ARC), California, USA | |
| 700 | 1 | |a Berck, James |u NASA Johnson Space Center (JSC), Houston, Texas, USA | |
| 700 | 1 | |a Chase Jr, P. Timothy |u Space Autonomy Research (SPAR) Lab, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA | |
| 700 | 1 | |a Cassamajor‐Paul, Christian |u Massachusetts Institute of Technology, Cambridge, Massachusetts, USA | |
| 700 | 1 | |a Chertok, Rachael |u University of Vermont, Burlington, Vermont, USA | |
| 700 | 1 | |a Clough, Lily |u Aurora Engineering, Wilton, New Hampshire, USA | |
| 700 | 1 | |a Davis, Jonathan |u NASA Goddard Space Flight Center (GSFC), Greenbelt, Maryland, USA | |
| 700 | 1 | |a De La Cruz, Melissa |u University of California, San Diego, California, USA | |
| 700 | 1 | |a Dosberg, Matthew |u NASA Goddard Space Flight Center (GSFC), Greenbelt, Maryland, USA | |
| 700 | 1 | |a Gibson, Alan |u Space Autonomy Research (SPAR) Lab, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA | |
| 700 | 1 | |a Hammer, Jonathan |u Massachusetts Institute of Technology, Cambridge, Massachusetts, USA | |
| 700 | 1 | |a Haroon, Ibrahim |u University of Massachusetts Lowell, Lowell, Massachusetts, USA | |
| 700 | 1 | |a Johnson, Michael A. |u Massachusetts Institute of Technology, Cambridge, Massachusetts, USA | |
| 700 | 1 | |a Kempa, Brian |u NASA Ames Research Center (ARC), California, USA | |
| 700 | 1 | |a Marshall, James |u Space Autonomy Research (SPAR) Lab, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA | |
| 700 | 1 | |a Maynard, Patrick |u NASA Goddard Space Flight Center (GSFC), Greenbelt, Maryland, USA | |
| 700 | 1 | |a McKinney, Brett |u University of Tulsa, Tulsa, Oklahoma, USA | |
| 700 | 1 | |a McKinney, Leyton |u University of Tulsa, Tulsa, Oklahoma, USA | |
| 700 | 1 | |a Monaghan, Michael |u Space Autonomy Research (SPAR) Lab, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA | |
| 700 | 1 | |a Onsay, Robin |u NASA Johnson Space Center (JSC), Houston, Texas, USA | |
| 700 | 1 | |a Owens, Hayley |u Tufts University, Medford, Massachusetts, USA | |
| 700 | 1 | |a Pedrotty, Sam |u NASA Johnson Space Center (JSC), Houston, Texas, USA | |
| 700 | 1 | |a Rogers, Daniel |u NASA Goddard Space Flight Center (GSFC), Greenbelt, Maryland, USA | |
| 700 | 1 | |a Sultana, Mahmooda |u Massachusetts Institute of Technology, Cambridge, Massachusetts, USA | |
| 700 | 1 | |a Sinapov, Jivko |u Tufts University, Medford, Massachusetts, USA | |
| 700 | 1 | |a Theiling, Bethany |u Massachusetts Institute of Technology, Cambridge, Massachusetts, USA | |
| 700 | 1 | |a Woodard, Aaron |u NASA Ames Research Center (ARC), California, USA | |
| 700 | 1 | |a Zouloumian, Caroline |u Smith College, Northampton, Massachusetts, USA | |
| 700 | 1 | |a Williams, Connor |u Undergraduate student at University of Tulsa, Tulsa, USA | |
| 773 | 0 | |t AI Magazine |g vol. 46, no. 3 (Sep 1, 2025) | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3251333243/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3251333243/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3251333243/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |