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NSF X-Labs Initiative AI for Physical Systems Topic Announcement
- Acheteur
- DIRECTORATE FOR TECHNOLOGY, INNOVATION, & PARTNERSHIPS, National Science Foundation
- Pays
- États-Unis
- Catégorie
- Services de recherche et développement et services de conseil connexes
- Date limite
- Clôture le 7 Jan 2027 (7 Jan 2027 17:00 UTC-5)
- Publié le
- 16 Sep 2026
- Procédure
- Solicitation - No Set aside used
Lire l'avis officiel et soumissionner → La soumission se fait toujours sur le portail de l'acheteur, jamais ici.
Ce que l'acheteur demande
The U.S. National Science Foundation (NSF), Directorate for Technology, Innovation and Partnerships (TIP), is soliciting Written Proposals under the NSF X-Labs Initiative for the AI for Physical Systems Topic. NSF seeks innovative, early stage platform technologies that advance intelligent, adaptive, and scalable AI systems operating in or interfacing with the physical world, including robotics, embodied systems, human robot interfaces, advanced sensing, and cyber physical systems. NSF anticipates making one or more Other Transaction (OT) awards under 42 U.S.C. § 19116.
Langue de cet avis : English. Le titre et la description sont affichés tels que publiés par l'acheteur.
How this compares
- This is one of 484 open tenders in États-Unis for Services de recherche et développement et services de conseil connexes.
- Bidders were given 113 days from publication to the deadline; the median for open tenders in États-Unis is 23 days.
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NSF X-Labs Initiative AI for Physical Systems Topic Announcement
DIRECTORATE FOR TECHNOLOGY, INNOVATION, & PARTNERSHIPS, National Science Foundation
NSF X-Labs Initiative AI for Physical Systems Topic Announcement
DIRECTORATE FOR TECHNOLOGY, INNOVATION, & PARTNERSHIPS, National Science Foundation
NSF X-Labs Initiative AI for Physical Systems Topic Announcement
DIRECTORATE FOR TECHNOLOGY, INNOVATION, & PARTNERSHIPS, National Science Foundation
NSF X-Labs Initiative AI for Physical Systems Topic Announcement
DIRECTORATE FOR TECHNOLOGY, INNOVATION, & PARTNERSHIPS, National Science Foundation
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Source: SAM · reference NSF-Topic3-FY26-XLabsPhysicalAI · JSON