NSF X-Labs seeks research proposals for early-stage AI platform technologies that enable intelligent, adaptive systems to operate and interact within real-world physical environments.
Funder: NSF X-Labs
Due Dates: January 7, 2027
Funding Amounts: One or more awards; multi-phase, large-dollar funding expected (see solicitation for details).
Summary: Supports early-stage platform technologies that advance intelligent, adaptive, and scalable AI systems operating in or interfacing with the physical world.
The NSF X-Labs Initiative – AI for Physical Systems Topic Announcement seeks written proposals for pioneering research on early-stage platform technologies that enable intelligent, adaptive, and scalable AI systems to interact with or operate within real-world environments. This opportunity targets innovations in robotics, embodied systems, human-robot interfaces, advanced sensing, and cyber-physical systems. The goal is to foster breakthroughs that bridge AI and physical systems, advancing the frontier of how AI technologies perceive, reason, and act in the physical world.