Tatra set to commence Titus tests
Czech company Tatra Defence Vehicle (TDV) will conduct explosion and blast tests with the first prototype Tactical Infantry Transport and Utility System (Titus) that has been manufactured by Nexter Systems for the Army of the Czech Republic (ACR).
Nexter used Twitter on 24 September to announce the delivery of the first vehicle to TDV.
If the vehicle passes evaluation and acceptance trials, Titus will unify the army’s troop carrier fleet by replacing ageing armoured and unprotected vehicles that are currently in service.
Titus is a 6x6 multirole armoured platform that provides a high level of protection, mobility and versatility, as
Our news & analysis is now part of Defence Insight®
A Basic-level or higher Defence Insight subscription is now required to view this content.
More from Land Warfare
-
Dominating the spectrum: ASELSAN’s EW capabilities take center stage at MSPO 2026
ASELSAN is showcasing its advanced electronic warfare (EW) capabilities at MSPO 2026, highlighting technologies designed to detect, analyse, disrupt and deceive threats across increasingly contested electromagnetic environments.
-
US Army set to receive first ISV-U-mounted Scorpion Light mortar
Global Military Products will begin deliveries next week under a US$12.9 million agreement covering digitally enabled 81mm mortar systems, vehicle integration and army fire-control technology.
-
US Army reaches out to industry for M109 replacement in a deal worth up to $8 billion
The US has tried several times to replace the M109 Paladin self-propelled howitzer, a requirement which Shephard forecasts could be for as many as 670 platforms and worth as much as US$8 billion.
-
“Creating a decision advantage”: how C-UAS is evolving to reduce the operator burden
In Conversation… Speaking to Shephard’s Gerrard Cowan, Dr Brian Shand, Director – Advanced Concepts & Technology at L3Harris, explains how, as operators face growing numbers of low-cost drones, C-UAS providers must focus on reducing operator workload, transforming fragmented sensor data into effective decision-making.