2 décembre 2020 | International, Aérospatial
By: Valerie Insinna
WASHINGTON — Boeing has begun production of the first T-7A ground-based training systems, preparing the way for the company to make its first deliveries in 2023.
Workers at Boeing's plant in St. Louis, Missouri, are currently assembling the first two weapon systems trainers and one operational flight trainer, the company said in a news release Tuesday. Those assets will be among the first simulators the company expects to deliver to Joint Base San Antonio-Randolph, Texas, in 2023.
The high-fidelity simulators include 8K native projectors that supports imagery that is 16 times the clarity of high-definition video, and the crew stations are equipped with motion seats that simulate the sensation of flight, Boeing stated.
The ground-based trainers will be able to connect to a physical T-7A, meaning that pilots virtually training can team up with those performing live flights in the T-7 aircraft. Because the simulators were built with an open-architecture backbone, it can be easily modified with new software applications.
“The Red Hawk's training system is arguably the most advanced in the world. It's a game changer,” said Chuck Dabundo, Boeing's vice president of the T-7 programs. “This system is 100% integrated with the pilot's real-world experience, offering ‘real-as-it-gets' simulation. We're working closely with the U.S. Air Force and look forward to testing and fielding the devices.”
In 2018, Boeing won the $9.2 billion contract for the T-X program after submitting a bid that shaved about $10 billion off the Air Force's initial estimates. The indefinite delivery, indefinite quantity contract allows the Air Force to buy up to 475 aircraft and 120 simulators, although the current plan is to buy 351 T-7 aircraft, 46 simulators and associated ground equipment.
Under the initial $813 million award, Boeing will deliver five T-7 aircraft and seven simulators.
Initial operating capability is planned by the end of fiscal 2024 when the first squadron of T-7A aircraft and its associated simulators are all available for training. Full operational capability is projected for 2034.
4 novembre 2024 | International, Terrestre, C4ISR
This week, we're diving into the chaos as hackers ramp up attacks, including North Korean ransomware collaboration and evasive password spraying tacti
17 novembre 2020 | International, Terrestre
The Robotic Combat Vehicle (Light), which can shoot missiles, launch mini-drones, and spot targets for artillery, combines a Marine Corps-tested unmanned vehicle with Army weapons and autonomy software. By SYDNEY J. FREEDBERG JR. WASHINGTON: Robot-builder QinetiQ formally delivered the first of four experimental Robotic Combat Vehicles (Light) to the Army on Nov. 5, the company has announced. They will be used alongside four Textron-built RCV-Mediums in field tests. After their delivery, the Army plans to buy 16 more of each variant as it scales up to more complex experiments. Those 2022 exercises will determine the feasibility of the service's ambitious plans for a “forward line of robots” to precede human troops into battle. The RCV-Light is a “very collaborative effort” that pulls together technologies from QinetiQ, industry partner Pratt Miller, and the Army's Ground Vehicle Systems Center, QinetiQ's director of unmanned systems tells me in an email. It also builds on “years of testing” of earlier versions by the famed Marine Corps Warfighting Laboratory in Quantico, Va., Jonathan Hastie says. The platform itself is Pratt Miller's EMAV (Expeditionary Autonomous Modular Vehicle), a low-slung hybrid-electric vehicle with tracks to cover rough terrain, with a maximum speed of 45 mph. It's robust enough to carry 7,200 pounds of payload – more than its own 6,800 lbs — yet compact enough to fit aboard a Marine V-22 tiltrotor or an Army CH-47 helicopter. This is the system tested by the Marines. QinetiQ provided much of the electronics and software: “the core robotic control and computing system, network and communications systems, perception and vision systems; and the safety control,” Hastie told me. Less tangible but even more critical is QinetiQ's implementation of a Modular Open Systems Architecture (MOSA), compliant with the Pentagon-defined Inter-Operability Profile (IOP) for ground robotics. This is the set of technical standards and common interfaces that let RCV plug-and-play a wide range of different equipment packages for specific missions. This specific vehicle features a Kongsberg CROWS-J weapon station – basically, a remote-controlled mini-turret combining a machine gun and a Javelin anti-tank missile launcher. Normally CROWS is installed on a manned vehicle, allowing the crew to operate their weapons and sensors without exposing themselves in an open hatch, but RCV includes a long-range control link to let humans operate it from different vehicle altogether. The robot can't open fire without a human pulling the trigger. (It also can't reload the Javelin without human help, so it effectively has one missile per mission, although there's plenty of machine gun ammo aboard). The RCV-L also carries a mini-drone, the HoverFly Tethered Unmanned Aerial System, which it can launch to look over buildings, hills, and obstacles while the ground vehicle stays hidden. The drone is physically connected to the robot by a power and communications cable, even during flight – hence the term “tethered.” That does limit its range but effectively allows it unlimited flight time. The Army's Ground Vehicle Systems Center provides the software to control both the drone and the weapons station. GVSC also developed the autonomy package. It's a version of the common software the Army is developing for a variety of robotic vehicles, allowing them to navigate cross-country and around obstacles without constant human intervention. The less help the machines need from humans, the more useful they can be in battle. https://breakingdefense.com/2020/11/qinetiq-delivers-armed-scout-robot-to-army-rcv-l/
5 juin 2023 | International, C4ISR
According to the Space Force, selecting L3Harris to design a third sensor reduces program risk and gives the service more options.