US Army accelerates acquisition and field of company-level sUAS
The service has been using a Directed Requirement (DR) approach to speed up the deployment of a Medium Range Reconnaissance capability.
Vigilant Aerospace has secured investment from Kluz Ventures through its commercial unmanned aircraft and robotics fund, The Flying Object (TFO).
TFO makes investments into US and international UAS technology and service companies.
Vigilant Aerospace’s product, FlightHorizon, is a situational awareness and detect-and-avoid system designed for UAS pilots, auto pilots and airspace managers. It integrates data from aviation transponders, airborne and ground-based radar and other sources to provide airspace visualisation, air traffic warnings and autonomous avoidance commands.
The system is based on a licensed NASA patent and prototype which has been the subject of extensive flight testing, and is currently undergoing testing with commercial customers.
Kraettli L Epperson, CEO and co-founder of Vigilant Aerospace, said: ‘We are delighted to have the support and involvement of TFO in Vigilant Aerospace and look forward to cooperation in bringing our safety technology to an increasing number of commercial unmanned aircraft operations both in the US and internationally.’
The service has been using a Directed Requirement (DR) approach to speed up the deployment of a Medium Range Reconnaissance capability.
AeroVironment’s portfolio will grow thanks to the eVTOL P550 aimed at battalion-level tactical forces.
The Royal Australian Air Force is advancing its unmanned aerial vehicle (UAV) capabilities across three key programmes as it works with the likes of Boeing and Northrop Grumman to reshape Australia’s defence strategy.
Prototypes from Griffon Aerospace and Textron Systems recently passed through MOSA conformance trials and flight tests.
Funds for the second phase of this effort will be allocated in the US Department of Defense (DoD) FY2026 budget request.
The Caméléon LG UGV includes remote operational capabilities and real-time hazard detection.