Advancing UK Aerospace, Defence, Security & Space Solutions Worldwide
  • Home
  • /
  • Defence
  • /
  • Elbit Systems UK to deliver swarm UAS capability to MoD

Defence

Elbit Systems UK to deliver swarm UAS capability to MoD

Elbit Systems UK has been selected by the Future Capability Group of the UK Ministry of Defence (MoD) to deliver autonomous swarms of Vertical Take-Off and Landing Unmanned Aerial Systems (UAS) as part of the British Army's Robotics and Autonomous Systems (RAS) project.

Image courtesy Elbit Systems UK
 
Elbit Systems UK will provide five autonomous swarms of six UAS each, operated using TORCH-X RAS, an operational open-architecture, platform-agnostic C4ISR solution that provides automated UAS mission management aided by Artificial Intelligence and Machine Learning, as well as full autonomy solutions for the platform level.

Advertisement
ODU RT

 
The autonomous swarms of UAS will be used for surveillance, with the capability to fly and continuously monitor, scan and discover for up to eight hours. The information obtained will be constantly relayed between the other UAS as well as back to the Ground Control Station (GCS), with any changes to an environment or landscape highlighted on the GCS. This will be delivered through the use of stills and video feeds, alongside integrated mapping capabilities to provide real-time, precise information.
Advertisement
ODU RT

 
Martin Fausset, CEO of Elbit Systems UK said: “Elbit Systems has a strong history in the provision of innovative UAS solutions including autonomous swarm capabilities and we are pleased to be providing these capabilities to the British Army. The advanced integration and autonomy capabilities provided by TORCH-X RAS will support the British Army as they use enhanced information gathering to protect the men and women on the front line.”

 

 

Advertisement
General Atomics LB
Optera funding fuels UK hub for space domain awareness

Defence Security Space

Optera funding fuels UK hub for space domain awareness

15 June 2026

Optera, a neuromorphic sensing company delivering next-generation space domain awareness (SDA), has raised £3 million to establish and scale its UK headquarters and engineering team.

Anotec introduces SurTec 650 surface treatment

Aerospace Defence

Anotec introduces SurTec 650 surface treatment

15 June 2026

Wolverhampton based surface treatment specialist Anotec, has announced the introduction of SurTec 650, a high-performance process increasingly specified in the defence and aerospace sectors.

Metis wins Kongsberg contract for Skyperion Lightweight

Defence

Metis wins Kongsberg contract for Skyperion Lightweight

15 June 2026

Lincoln based specialists in providing Radio Frequency (RF) and drone detection tech, Metis, has been selected to provide its Skyperion Lightweight passive RF sensor to Kongsberg to support the Polish SAN counter Uncrewed Air System (cUAS) programme, worth over £30 million.

Cambridge Pixel showcasing VSD-C2 at Eurosatory

Defence Events

Cambridge Pixel showcasing VSD-C2 at Eurosatory

15 June 2026

Cambridge Pixel is at Eurosatory, Paris Nord Villepinte exhibition centre (15th-19th June), showcasing its iVSD-C2 display software.

Advertisement
ODU RT
Thales unveils AI-powered Gladiator at Eurosatory

Defence Events

Thales unveils AI-powered Gladiator at Eurosatory

15 June 2026

Today at Eurosatory in Paris (15th-19th June), Thales has unveiled its new AI-powered Gladiator Training Data Analytics solution with Advanced After Action Review (AAR) capabilities that include interactive timelines, exercise replay, tactical metrics grounded in the fundamental principles of warfare, and AI-powered communications analysis.

Europe

Defence

Europe's largest drone test centre opened in Swindon

15 June 2026

The new Defence Secretary Dan Jarvis MP has opened Europe’s biggest drone testing centre in Swindon, learning lessons from the Ukraine and Iran conflicts and set to rapidly develop and field capabilities in far shorter time frames.

Advertisement
ODU RT
Advertisement
FIA2026 animated banner