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.
The at-sea testing is part of its SBIR Phase 2 Award, Defining and Leveraging Digital Twins in Autonomous Undersea Operations, with DARPA.
Integer, along with its subcontractors at the Woods Hole Oceanographic Institution and Rite-Solutions, have been investigating the implementation of digital twins for UUV missions. The team integrated the digital twin architecture, software, and communication systems on a REMUS 100 vehicle, which were validated during at-sea tests.
The SBIR Phase 2 programme aims to define and demonstrate digital twin use cases for individual UUVs as well as multi-UUV missions with the goal of helping operators overcome undersea communication challenges and UUV mission interruptions.
The research programme included developing and performing in-water testing on a split onboard/offboard digital twin prototype architecture. This architecture enables the prediction of mission success likelihood and provides alternative achievable missions in real time to the operational commander based on environmental and UUV subsystem past, present and forecast states.
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.