NASA gives AstraQua a $1,274,990 Phase II deal for aircraft health AI

What the award is meant to achieve

The Phase II work carries AstraSense, a system that gives autonomous machines insight into their own condition, into aircraft. According to the report, the technology already runs on robotic hardware, and Phase II builds on those earlier demonstrations by pushing toward aircraft integration and health-informed reasoning.

The effort also covers verification and validation for safety-critical applications. The report places this at the centre of the project, noting that autonomous vehicles increasingly fly over populated areas.

Machine health as a safety input

The stated aim is for machines to draw on information about their own health when deciding whether to keep going with a task, adapt it or halt. AstraQua's founder and CEO, Loay Elbasyouni, is quoted saying that a robot should recognise when to slow down, not only when it has failed.

For the company, self-awareness means understanding the state of a machine's own systems. When machines operate as a group, exchanging that health information can shape decisions across the whole group, for instance by handing unfinished tasks to another unit when one can no longer carry them out.

Where AstraSense sits in AstraQua's software

AstraSense is described as part of AstraQua's wider software platform, which is intended to tie together perception, onboard reasoning and cooperation among different kinds of robots. It draws on the company's Agentic Physical AI and its Adaptive Quorum Foundation Model.

To illustrate, the report describes a ground robot that has to stop while drones carry on working; a suitably equipped second robot could then assume the first one's remaining tasks.

Open questions

• What timetable applies to the Phase II work, and when will aircraft integration be tested?