A $5M award for PoLARIS, a robot-run polymer lab reachable from anywhere — of an estimated $20M total, a quarter is obligated so far (University of Chicago)
Discovering soft materials — plastics, coatings, adhesives, flexible electronics — remains slow, expensive and largely manual. This project ties more than twenty automated synthesis, processing and characterization platforms together under AI-driven workflow orchestration, creating a remotely accessible, robot-operated laboratory. It is stated to execute 100 to 300 experiments daily.
Grant overview (primary data)
- Award amount$5,000,000 / Est. total $20,000,000
- RecipientUniversity of Chicago (Illinois)
- ProgramPCL-Programmable Cloud Labs
- Period2026-08-01 〜 2030-07-31
- FunderU.S. National Science Foundation (NSF) / NSF
Key points
- More than twenty automated synthesis, processing and characterization platforms are tied together under AI-driven orchestration into a remotely accessible, robot-operated laboratory.
- It is stated to execute 100 to 300 experiments daily while maintaining metadata and provenance for reproducibility.
- The estimated total is $20 million and the obligated amount $5 million; the funding account lists codes spanning four fiscal years.
- Across the 120 NSF awards this site holds as of 2026-08-28, estimate and obligation match in 86 cases while the estimate is larger in 32, with a median gap of $13.5 million.
- It operates as an open national user facility including institutions lacking advanced laboratory infrastructure, with software and data released under FAIR principles.
- Two figures sit together: 100 to 300 experiments a day, and $5M obligated against a $20M estimated total.
1Two amounts sitting side by side
This record carries two figures: an estimated total of $20 million and an obligated amount of $5 million. The first is what the plan anticipates overall; the second is what has actually been committed so far. Across the 120 NSF awards this site holds as of 2026-08-28, the two match in 86 cases, a little over seven in ten, while in 32 the estimate is larger, with a median gap of $13.5 million.
Which figure is used changes the impression of an award considerably. The funding account for this record lists codes spanning four fiscal years, indicating money allocated across multiple years.
2The idea of sending an experiment
Rather than a researcher travelling to where the instruments are, the plan is to send the experiment. AI agents translate a scientific goal into concrete workflows, and robots run everything from synthesis to characterization. A rate of 100 to 300 experiments a day is an order of magnitude away from what hands can turn.
The point is not that volume produces hits but that a closed loop runs, with each result deciding the next experiment. Where the pace of research is set by how fast experiments cycle rather than by ideas, that difference tells.
3Opened to institutions without the instruments
The record states that the facility operates as an open national user facility providing equitable access to academic researchers, industry partners, and institutions currently lacking advanced laboratory infrastructure. Annual workshops, online training modules and structured onboarding are named as ways to lower barriers to participation.
Against a structure in which whether one can afford the instruments decides whether one can do the research, the answer offered is to share the instruments and reach them remotely. Among the 120 awards this site holds as of 2026-08-28 are several other PCL nodes and autonomous laboratories, showing the same idea advancing in parallel.
Why it matters
Reporting the size of an award can differ several fold depending on whether the estimated total or the obligated amount is used. In the records this site holds, roughly a quarter carry such a gap, with a median of $13.5 million. Any tally or comparison has to state which column was summed, or the figure will diverge from reality.
FAQ
How do estimated total and obligated amount differ?
What is a cloud laboratory?
Who can use it?
Sources (primary)
Source: NSF Award Search (U.S. National Science Foundation, public domain). Amounts are the obligated amount. For privacy, we do not handle principal investigator names.
- NSF Award (original, official)
- NSF Award ID: 2607613