DARPA Awards RTX BBN AI Work-Guidance (PTG) R&D Contract — a federal contract (USAspending)
The U.S. Defense Advanced Research Projects Agency (DARPA) awarded RTX BBN Technologies roughly $4.37 million to develop "PTG" technology, in which AI helps users carry out complex physical tasks.
Contract key facts
- RecipientRTX BBN TECHNOLOGIES, INC.
- Contract value$4,366,076 (≈$4.4M)
- Awarding agencyDepartment of Defense
- Awarding sub-agencyDefense Advanced Research Projects Agency
- Award typeDEFINITIVE CONTRACT
- Period of performance2021-11-05 〜 2025-02-28
- Contract ID (PIID)HR001122C0010
Contract scope (original)
EO14042 PERCEPTUALLY-ENABLED TASK GUIDANCE (PTG)- DEVELOP ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES TO HELP USERS PERFORM COMPLEX PHYSICAL TASKS
Key points
- Awarded by DARPA (Defense Advanced Research Projects Agency); recipient is RTX BBN Technologies, Inc.
- Theme is PTG (Perceptually-enabled Task Guidance) — developing AI that recognizes a user's situation and supports complex physical tasks.
- Valued at about $4.37 million, running November 5, 2021 to February 28, 2025.
- Contract type is DEFINITIVE CONTRACT.
- The specific tasks targeted and outcomes achieved are not stated in the source data.
This contract is part of the research-and-development work carried out by DARPA, the Defense Advanced Research Projects Agency. DARPA is an arm of the U.S. Department of Defense whose mandate is not to buy ready-to-use equipment but to nurture potentially transformative technologies from the earliest stage, before anyone has built them. The theme here, PTG (Perceptually-enabled Task Guidance), is a field that aims to have AI recognize, through sensors such as cameras, what situation a user is in and what they are doing, and then guide and support them through complex physical tasks in real time. The recipient, RTX BBN Technologies, is a research-and-development firm with a long history of advanced work for the government.
Why does this kind of technology matter? Complex tasks, such as repairing equipment or performing first aid, are traditionally handled by relying on an expert's experience or a paper manual. If AI can instead watch and understand what a person is doing right now and advise on the next step according to context, even an inexperienced user may be able to perform difficult tasks safely and accurately. It is a challenge that bridges how humans see and understand the world with how machines read a situation from video, placing it among the areas of artificial-intelligence research most closely tied to the real world.
Viewed more broadly, this contract also illustrates how government research funding draws on private-sector R&D capacity. Government backing for technology at a near-basic stage, with the resulting advances later spreading into fields as varied as medicine, industry, and disaster response, is a recurring pattern in U.S. technology policy. Note that "EO14042" in the contract description is a reference number for a labor-related federal procurement executive order; it does not describe the substance of the technology. The public source data does not state the specific tasks targeted or the outcomes achieved under this contract.
Why it matters
Technology that lets AI recognize a person's task situation in real time and guide them through it has real-world applications in supporting skill-intensive physical work. Government-funded early-stage research can later spread into broad civilian fields such as medicine, industry, and disaster response, offering a window into the direction of U.S. technology investment.
FAQ
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Sources (primary)
This article is an independent organization based on the U.S. official spending data below. Verify the exact, latest details with the official source.
- USAspending (award details)
- Contract ID (PIID):HR001122C0010