UK Royal School of Artillery turns to simulated training
The UK Royal School of Artillery (RSA) has conducted the second round of its Concept Capability Demonstrator (CCD) in an effort to demonstrate plans to maximise simulation capabilities to enhance soldier training.
Speaking to Shephard at the Land Warfare Centre, Warminster, UK on 28 March, Captain Simon Oliver said the demonstration was only the second time live and synthetic training had been integrated in such a way.
‘One of the challenges we are considering is the training of 30,000 [Territorial Army soldiers] without them necessarily being in the same place. We want to make [the soldier's] experience as real as
Already have an account? Log in
Want to keep reading this article?
More from Digital Battlespace
-
Aselsan brings in dozens of companies and systems under the Steel Dome umbrella
Turkey has joined the family of countries attempting to establish a multilayered air defence system with government approval in August 2024 for the effort landed by Aselsan. Dubbed Steel Dome, the programme joins Israel’s Iron Dome, the US Golden Dome, India’s Mission Sudarshan Chakra and South Korea’s low-altitude missile defence system.
-
DSEI 2025: MARSS unveils new agnostic multidomain C4 system
MARSS’ NiDAR system has been deployed using sensors from static platforms to provide detection and protection for static sights, such as critical infrastructure, ports and military bases.
-
Australia looks towards space with force restructure, investment and training
Australia is looking to improve its presence in space with a focus on communications and creating a dedicated segment of its defence forces committed to the domain.
-
EID to unveil new vehicle communication system at DSEI
The Portuguese company’s naval communications system is in service across more than a dozen countries. It has turned to its home nation for support in developing a new vehicle based C2 system.
-
Chess Dynamics successfully demonstrates Vision4ce AI-driven tracker
The Vision4ce Deep Embedded Feature Tracking (DEFT) technology software is designed to process video and images by blending traditional computer vision with artificial intelligence (AI) algorithms to present actionable information from complex environments.