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The NSF SBIR/STTR Robotics topic funds innovative small business research and development in AI-powered robotics across six subtopics (R1-R6) including human assistive technologies, human-machine interfaces, agile manufacturing robotics, underwater and underground systems, healthcare robotics, and next-generation automation.
The program specifically encourages innovations in voice, obstacle, and image recognition using AI, and seeks next-generation automation solutions enabling flexible and rapid reconfiguration of assembly lines for manufacturing applications. Projects must demonstrate technological innovation, broader societal impacts, and commercial potential.
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Or search similar grants →According to the current listing, eligibility includes: Applicants must be U.S.-based small businesses with fewer than 500 employees, with at least 50% equity owned by U.S. citizens or permanent residents. All funded work including work by consultants and contractors must take place in the United States. The Principal Investigator must be legally employed at least 20 hours per week and commit at least one month (173 hours) per six months of project duration. No advanced degrees required for PI. Confirm the full requirements in the official notice before applying.
The current listing shows phase I awards up to $275,000 for 12 months of feasibility research. Phase II awards up to $1,000,000 for 24 months of full R&D. Total seed investment up to $2 million with zero equity taken. NSF takes no equity stake. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was June 30, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
NSF SBIR/STTR Robotics Topic for AI-Enabled Manufacturing Automation and Human-Robot Systems is funded by National Science Foundation. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Violence Against Women Discretionary Grants for Indian Tribal Governments is sponsored by Department of Justice. To increase tribal capacity to respond to violent crimes against Indian women, and to develop and strengthen victim services in cases involving violent crimes against Indian women. This listing is currently active. Program number: 16.587. Last updated on 2024-11-26.
The NSF CISE Future Computing Research (Future CoRe) program supports research in computing and communication foundations, intelligent systems, and network systems. The program funds innovative research that advances the frontiers of computing including artificial intelligence, machine learning, computer vision, natural language processing, and robotics. This is one of NSF's largest computing research programs with $280 million in total budget. Projects can address fundamental computing challenges, novel AI architectures, scalable intelligent systems, and next-generation network infrastructure.
TCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
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