Airbus satellite tv for pc launches with Irish navigation tech

Airbus’ Constellation Optique 3D (CO3D) satellites launched aboard an Arianespace Vega-C rocket from French Guiana. The undertaking is a high-profile collaboration between Airbus and the French area company Centre National d’Etudes Spatiales (CNES).

A navigation system created by Dublin-based space-tech producer InnaLabs has been fitted onto the satellite tv for pc. The ARIETIS-NS system offers radiation-tolerant, high-precision inertial navigation, supporting the satellites’ crucial angle management and mission stability features.

According to the start-up, its gyroscope unit is small in dimension, weight and energy necessities, and it operates with “extremely low noise” to keep away from interference with telecoms and remark programs.

Designed and constructed by Airbus, the 4 CO3D dual-use satellites will ship a world high-resolution Digital Surface Model service to CNES. The satellites will even strengthen Airbus’ options of optical and radar satellites. The spacecrafts are set to function for eight years, in pairs orbiting on reverse sides of the Earth.

“Being part of this project marks a proud milestone for InnaLabs and for Irish engineering in space,” stated John O’Leary, the CEO of InnaLabs.

“We are honoured to contribute to this cutting-edge programme that is setting new standards in satellite performance and innovation.”

In 2024, the Blanchardstown start-up’s navigation unit launched with the European Space Agency (ESA) in a planetary defence mission, referred to as Hera, to analyze the Didymos binary asteroid system.

While earlier in May 2025, InnaLabs secured its second contract to advance Earth’s planetary defence by means of ESA’s Ramses mission.

Ubotica’s AI upgrades NASA satellite tv for pc

In different Irish area information, NASA utilised an artificial-intelligence payload developed by Irish space-tech agency Ubotica to indicate that the tech will help orbiting spacecraft present extra focused and priceless knowledge, quicker.

The payload runs on Ubotica’s Space:AI platform, a commercially accessible space-capable processor. The take a look at was performed on CogniSAT-6, a CubeSat designed, constructed and operated by Open Cosmos.

For the primary time – utilizing the AI-powered know-how – an Earth-observing satellite tv for pc was in a position to look forward alongside its orbital path, quickly course of and analyse imagery with onboard AI and decide the place to level an instrument.

The complete course of took lower than 90 seconds, with none human involvement, stated NASA.

The idea is named ‘Dynamic Targeting’ and the collaborators wish to showcase its potential to allow orbiters to enhance floor imaging by avoiding clouds, in addition to hunt for particular, short-lived phenomena similar to wildfires, volcanic eruptions and uncommon storms.

A paper on Dynamic Targeting was offered by NASA and Ubotica in 2024 on the International Symposium on Artificial Intelligence, Robotics and Automation for Space, in Brisbane, Australia.

“The idea is to make the spacecraft act more like a human. Instead of just seeing data, it’s thinking about what the data shows and how to respond,” defined Steve Chien, a technical fellow in AI at NASA’s Jet Propulsion Laboratory (JPL) and principal investigator for the Dynamic Targeting undertaking.

“When a human sees a picture of trees burning, they understand it may indicate a forest fire, not just a collection of red and orange pixels. We’re trying to make the spacecraft have the ability to say, ‘that’s a fire’, and then focus its sensors on the fire.”

Ubotica CEO, Fintan Buckley, sees this as a shift from “photographing everything, to photographing what matters”.

“If you can be smart about what you’re taking pictures of, then you only image the ground and skip the clouds,” stated Ben Smith from JPL, an affiliate with NASA’s Earth Science Technology Office, which funds the Dynamic Targeting work. “That way, you’re not storing, processing and downloading all this imagery researchers really can’t use.”

With the cloud-avoidance functionality now confirmed, the following take a look at might be trying to find storms and extreme climate. While one other take a look at might be to seek for thermal anomalies like wildfires and volcanic eruptions.

Suhasini Srinivasaragavan

This article initially appeared on www.siliconrepublic.com and might be discovered here