6 août 2024 | International, Aérospatial

Italy scrambles fighter jets to intercept aircraft over Baltic

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  • Navy Wants Robot Boats But Will Still Need Sailors To Fix Them

    7 mai 2020 | International, Naval

    Navy Wants Robot Boats But Will Still Need Sailors To Fix Them

    "We need to find a balance of vehicle designs that enables the cost to be cheap enough that we can afford them, but it's not so highly optimized towards the purely unmanned spectrum that it's cost prohibitive to maintain them." By PAUL MCLEARYon May 06, 2020 at 3:27 PM WASHINGTON: The Navy needs to comb through a host of thorny issues before deploying a new fleet of unmanned ships to confront China, Russia, and Iran. “You don't hear me talking about artificial intelligence and machine learning and things like that just yet,” said Capt. Pete Small, the Navy's program manager for Unmanned Maritime Systems at a C4ISRnet conference this morning. “Those aren't my first concerns. My first concerns are about the field stability and sustainability of these systems right now.” The Navy just isn't equipped to deploy or sustain a new fleet of unmanned vessels yet. “Our infrastructure right now is optimized around manned warships,” Small said. “We're gonna have to shift that infrastructure for how we prepare, deploy, and transit” over large bodies of water before large numbers of unmanned vessels can be effective, he said. It's not clear where that planning stands, but the service has already invested tens of millions in the early work of developing a family of large and medium unmanned vessels, and is looking to vastly ramp that up in the 2021 budget, asking for $580 million for research and development. In 2019 an unmanned Sea Hunter prototype autonomous vessel sailed from San Diego to Hawaii, but it needed to repair several broken systems along the way, forcing sailors to board the ship. It was the first experiment of its kind, one the Navy has not repeated. Those mechanical problems point to work the Navy must do to reconfigure its logistics tail to meet the needs of a new class of ship. “We're going to have to transition from a [system] more optimized around our manned fleet infrastructure to a more distributed mix of these large manned platforms to smaller platforms,” Small said, “we're gonna need to talk about things like, tenders for heavy lift ships, or forward operating bases, things like that.” The early thinking is the service will use the ships as sensors deployed well forward of manned ships and carrier strike groups, which could be at risk if they maneuvered too close to contested waters. But the Navy isn't going to pin everything on a nascent fleet of robot boats — a new class of manned frigates is also being built to operate inside the range of enemy precision weapons. The frigates are going to be smaller and faster than current destroyers, with the ability to generate much more power so they can use lasers and other weapons for both offensive and defensive missions. The Navy is considering several sizes of USVs, including a large variant between 200 and 300 feet in length and having full load displacements of 1,000 tons to 2,000 tons. The ships should be low-cost, and reconfigurable with lots of room capacity for carrying various payloads, including mine hunting and anti-surface warfare. The 2021 budget submission proposes using research and development funding to acquire two more prototypes and another in 2022. Plans then call for buying deployable LUSVs at a rate of two per year. Medium unmanned ships will likely come in at between 45 to 190 feet long, with displacements of roughly 500 tons. The medium ships are thought to skew more toward mission modules revolving around intelligence, surveillance and reconnaissance payloads and electronic warfare systems. The first MUSV prototype was funded in 2019, and the Navy wants to fund a second prototype in 2023. Fundamental issues need to be sorted out before the Navy buys one of these ships. “We need to find a balance of vehicle designs that enables the cost to be cheap enough that we can afford them, but it's not so highly optimized towards the purely unmanned spectrum that it's cost prohibitive to maintain them,” Small said. If the maintenance is too complicated and time consuming, and “we have to take the whole vehicle out of the water and take it apart in some explicit manner to replace the parts, it's not gonna really support what we need in the field. So really, the sustainability of the technology is as important — if not more important — in the near-term than the technology itself.” https://breakingdefense.com/2020/05/navy-wants-robot-boats-but-will-still-need-sailors-to-fix-them/

  • TEXTRON Systems Team Lynx OMFV manufacturer moves ahead to program Phase 3 and 4

    28 juillet 2023 | International, Terrestre

    TEXTRON Systems Team Lynx OMFV manufacturer moves ahead to program Phase 3 and 4

    Slidell, Louisiana, July 26, 2023 – Textron Systems Corporation, a Textron Inc. (NYSE:TXT) company, announced today that the company will move ahead into Phases 3 and 4 of the U.S....

  • How airmen can work together for persistent ISR

    9 octobre 2019 | International, C4ISR

    How airmen can work together for persistent ISR

    By: Brig. Gen. Gregory Gagnon and Lt. Col. Nishawn Smagh There is always a next war. Great power competition is here. Now is the time, while the United States maintains a position of strength, to ensure we are not outmatched, out-thought, or out-witted. Rapidly and realistically positioning the Intelligence, Surveillance, and Reconnaissance enterprise for first-mover advantage in today's data-driven environment is beginning with purposeful urgency. The past paradigm: crew-to-aircraft model During our careers, the Air Force ISR enterprise grew in both capability and capacity. In the late 1990s, the Air Force operated an ISR enterprise dominated by manned aircraft, each with their own specialized team operating unique systems that turned data into initial intelligence. Only a few organizations could turn raw airborne sensor data into intelligence in near-real time. We were only beginning to move data to the analyst, versus deploying the analyst to the data. As battlefield demand of ISR grew, we scaled up. We were fortunate to help build and execute airborne intelligence operations on a global scale, connected via a global network — we called them “reachback” operations. Reachback operations were the first step in transmitting ISR sensor collection across the globe in seconds. Even today, few nations can conduct this type of ISR operational design. The enterprise has continued to advance, achieving fully distributed operations around the world. We also made it possible to remove humans from aircraft, allowing missions to fly nearly three times longer and expand the data available to exploit. Correspondingly, the Air Force increased the number of organizations that could accept data and create intelligence. Following 9/11, our nation's needs changed; the fight necessitated the Air Force grow its capacity to deliver intelligence for expanded operations in the Middle East. We bought more unmanned vehicles, trained more ISR Airmen, and created more organizations to exploit data. Collection operations were happening 24/7 and most sorties required multiple crews to fly, control sensors and turn collection tasks into intelligence. As reachback operations grew, they became the Distributed Common Ground System and developed the ability to exploit aircraft sensor data. This growth was significant, but at the tactical level we employed the same crew model and simply grew at scale. This resulted in manpower growth, but also in disparate, distributed crews working similar tactical requirements with little unity of effort or larger purpose. This limited the ability of ISR airpower to have broader operational effects. While suitable for counter-terrorism, history tells us this approach is ill advised for great power conflict. Observe and orient: the data explosion and sense-making The traditional crew-to-aircraft model for exploitation must fast forward to today's information environment. The Pentagon has shifted its guidance to this new reality. The Defense Department recently declared information a seventh core function, and the Air Force's formal ISR flight plan maps a course for digital-age capabilities to turn information into intelligence. This “sense-making” must be able to handle both the complexity of a diverse information environment and scale to contend with an exploding volume of data. Access to expanded data sets, from diverse collection sources and phenomenology, is near and urgently needed. The Department's focus on artificial intelligence and machine learning in this realm remains stable and necessary. The next step is to retool how we task, organize, and equip both intelligence collection and analytic crews. As the Pentagon focuses on open architectures, artificial intelligence and machine learning, and data standards, the field is rapidly moving out. Air Combat Command , the Air Force lead command for ISR, is attacking the crew-to-aircraft model to test a sensor-agnostic approach using multiple data sources to address intelligence requirements. Cross-functional teams of Airmen are now assigned broader operational problems to solve, rather than a specific sensor to exploit. This will change joint and service collection management processes. ACC is tackling this future. We are supporting Air Force commanders in Europe and the Pacific with a pilot project that allows Airmen to explore these sensor-agnostic approaches. An additional element to our future success is partnering with our joint and allied partners, as well as national agencies, to bring resources, tools, and insights to bear. As we field the open architecture Distributed Common Ground System, we are shifting the focus from airmen operating specific sensors to airmen leveraging aggregate data for broader analysis. Headquarters Air Force and ACC are installing technologies to ensure readiness for the future ISR enterprise. Cloud technology paired with artificial intelligence and machine learning promises to speed human-machine teaming in generating intelligence across warfighting domains at the speed and scale necessary to inform and guide commanders. Underpinning this effort is a new data strategy and agile capability development for rapid prototyping and fielding. The Defense Department and the Air Force must continue to prioritize this retooling. Our adversaries see the opportunities; this is a race to the future. Situational awareness in the next war will require the development and fielding of AI/ML to replace the limited and manpower-intensive processes across the Air Force ISR enterprise. Employing AI/ML against repetitive data exploitation tasks will allow the service to refocus many of its ISR Airmen on AI/ML-assisted data analysis and problem solving. ISR and multi domain command and control ... enabling decide and act A headquarters-led initiative, with eyes toward a joint capability, is the creation of a collaborative sensing grid that operates seamlessly across the threat spectrum. Designs call for a data-centric network of multi domain platforms, sensors, and airmen that work together to provide persistent ISR. Equipped with manned and unmanned platform sensors capable of computing via AI/ML, these capabilities will link commanders to real-time information, plus tip and cue data from sensors-to-sensors, joint commanders, and weapons. This collaborative sensing grid is a foundational element for multi domain command and control . The vision of MDC2 is to outpace, outthink and outmaneuver adversaries. Creatively and rapidly applying new technology to operational problems is a long-held characteristic of airmen. Our DCGS airmen are no different. Non-material solutions deserve as much attention as hardware. This pilot project is our vanguard initiative to prepare for rapidly changing future systems environments. https://www.c4isrnet.com/opinion/2019/10/08/how-airmen-can-work-together-for-persistent-isr/

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