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MIL-OSI United Kingdom: Successful trial paves the way for improved reconnaissance on Army operations

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MIL-OSI Publisher

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AM-NC, CTF, DJF, Europe, European Union, KB, MIL-OSI, Military Intelligence, Politics, Science, Technology, Transport, Ukraine, United Kingdom, Vehicles

Source: United Kingdom – Executive Government & Departments 3

News story

Successful trial paves the way for improved reconnaissance on Army operations

Recent trial saw a single operator controlling three uncrewed vehicles, which detected and classified threats.

Uncrewed air vehicle in successful trial

  • UK first comes as government doubles investment in autonomous defence technology committing an extra £2bn this parliament
  • Next stage of trial will see drone swarms tested for intelligence, surveillance, and reconnaissance, delivering on recommendations set out in the Strategic Defence Review, and the Government Plan for Change.

Soldiers are set to be better protected, and Army surveillance operations enhanced, following a successful trial in which a single operator controlled three uncrewed air and land vehicles.  

The trials, conducted by the Defence Science and Technology Laboratory (Dstl), proved that robotic and autonomous systems (RAS) can be integrated into and controlled from crewed command vehicles, in a UK first.

Drawing on lessons from Ukraine’s battlefields, this innovative use of RAS will play a vital role in strengthening the Army’s reconnaissance capabilities while reducing risk to personnel, allowing them to operate further from the frontline.

The live trial took place on Salisbury Plain with a drone operated in tandem with two uncrewed ground vehicles, commanded by a single operator in a crewed vehicle. The autonomous systems were equipped with cameras and automatic target recognition software to detect and classify threats, which were relayed to the mission operator.

Following recommendations set out in the Strategic Defence Review, this government is doubling investment in autonomous technology – investing an extra £2 billion this Parliament, following the Prime Minister’s historic uplift in defence spending to 2.5% of GDP from 2027. This will see autonomous systems, including drones, improve accuracy and lethality for our Armed Forces, boost UK export potential and drive jobs and growth across the country. 

Thales designed and developed the trial for Dstl, supported by a number of specialist technology suppliers. Dstl’s work supports thousands of highly skilled jobs across the UK supply chain, including 7,000 staff employed by Thales directly, supporting the government’s Plan for Change.

Following the success of the trial, Dstl will apply the concept to further missions, including deploying swarming drones in an intelligence, surveillance and reconnaissance role. 

Minister for Defence Procurement and Industry, Rt Hon Maria Eagle MP said: 

As set out in the Strategic Defence Review, we plan to use drones, data and digital warfare to ensure our Armed Forces stronger and safer, whilst boosting jobs and innovation across the UK. 

This trial is an example of our Government’s new partnership with industry; delivering the cutting-edge technology to our front line troops and making defence an engine for growth, as part of our Plan for Change.

The trial demonstrated the extension of the UK’s Generic Vehicle Architecture standard – which has also been adopted by NATO – to autonomous systems. Through integration into an internationally recognised system, the trial could lead to enhanced interoperability between allies, with the ability to deploy autonomous systems, sensors or software between vehicles at reduced risk and cost. 

Dr Paul Hollinshead, Dstl’s Chief Executive, said:   

Dstl identifies and harnesses the emerging technologies that will deliver mission success through science and technology advantage for UK forces.  

These technologies support highly skilled jobs and create opportunities for growth throughout our specialist industry suppliers.

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Updates to this page

Published 13 June 2025

MIL OSI United Kingdom –

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