US Army looks for nontraditional business to tackle robotic vehicle sustainment

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  9 mai 2024 | International, Terrestre

  US special forces want longer reach for rockets, snipers, robots

  The new sniper rifle would replace two weapons currently in use.

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  29 mars 2019 | International, C4ISR, Autre défense

  DARPA: Using AI to Build Better Human-Machine Teams

  The inability of artificial intelligence (AI) to represent and model human partners is the single biggest challenge preventing effective human-machine teaming today. Current AI agents are able to respond to commands and follow through on instructions that are within their training, but are unable to understand intentions, expectations, emotions, and other aspects of social intelligence that are inherent to their human counterparts. This lack of understanding stymies efforts to create safe, efficient, and productive human-machine collaboration. “As humans, we are able to infer unobservable states, such as situational beliefs and goals, and use those to predict the subsequent actions, reactions, or needs of another individual,” said Dr. Joshua Elliott, a program manager in DARPA's Information Innovation Office (I2O). “Machines need to be able to do the same if we expect them to collaborate with us in a useful and effective way or serve as trusted members of a team.” Teaching machines social intelligence however is no small feat. Humans intuitively build mental models of the world around them that include approximations of the mental models of other humans – a skill called Theory of Mind (ToM). Humans use their ToM skill to infer the mental states of their teammates from observed actions and context, and are able to predict future actions based on those inferences. These models are built on each individual's existing sets of experiences, observations, and beliefs. Within a team setting, humans build shared mental models by aligning around key aspects of their environment, team, and strategies. ToM and shared mental models are key elements of human social intelligence that work together to enable effective human collaboration. DARPA's Artificial Social Intelligence for Successful Teams (ASIST) program seeks to develop foundational AI theory and systems that demonstrate the basic machine social skills necessary to facilitate effective machine-human collaboration. ASIST aims to create AI agents that demonstrate a Machine ToM, as well as the ability to participate effectively in a team by observing and understanding their environment and human partners, developing useful context-aware actions, and executing those actions at appropriate times. The agents developed under ASIST will need to operate across a number of scenarios, environments, and other variable circumstances, making the ability for them to evolve and adapt as needed critical. As such, ASIST will work to develop agents that can operate in increasingly complex environments, adapt to sudden change, and use observations to develop complex inferences and predictions. During the first phase of the program, ASIST plans to conduct experiments with single human-machine interactions to see how well the agents can infer human goals and situational awareness, using those insights to then predict their teammate's actions and provide useful recommended actions. As the program progresses, the complexity will increase with teams of up to 10 members interacting with the AI agents. During these experiments, ASIST will test the agents' ability to understand the cognitive model of the team – not just that of a single human – and use that understanding to develop appropriate situationally relevant actions. Full details on the program can be found in the Broad Agency Announcement (BAA) solicitation, which has been posted to the Federal Business Opportunities website, https://www.fbo.gov/index?s=opportunity&mode=form&id=9d4acf0aba98916288a541bd07810004&tab=core&_cview=1 https://www.darpa.mil/news-events/2019-03-21b

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  30 septembre 2020 | International, Terrestre, C4ISR, Sécurité

  Army Wants New Mega-Jammer In 2023: TLS-EAB

  SYDNEY J. FREEDBERG JR. Mounted on a pair of heavy trucks, the Terrestrial Layer System – Echelons Above Brigade (TLS-EAB) will do long-range jamming for high-level HQs – and fry the circuits of incoming enemy missiles as well. WASHINGTON: The Army officially asked industry today to help take a big step towards repairing the Army's long-neglected EW corps and countering Russian and Chinese jamming – and it'll have an unexpected missile defense dimension as well. Boeing and Lockheed are still building rival prototypes for the Army's next-generation cyber/electronic warfare vehicle, the Terrestrial Layer System set to enter service in 2022. The new system, known as TLS-EAB — will be TLS's much bigger brother. The service has set a pretty brisk schedule, talking of fielding something by the end of 2023. The original-flavor TLS, aka TLS-BCT, will fit on an 8×8 Stryker armored vehicle and accompany frontline Brigade Combat Teams. TLS-Echelons Above Brigade will fill a pair of heavy trucks, probably Oshkosh FMTVs, Army officials unveiled today: One truck will carry sensors, transmitters, and a tethered drone or aerostat to detect enemy signals, triangulate their locations for artillery and airstrikes, and disrupt them electronically with a combination of jamming, wireless hacking, and deceptive signals. It'll be crewed by eight soldiers, four specializing in cyber/electronic warfare and four in signals intelligence. There will likely be sub-variants, for example with a division-level system designed to frequently relocate, while a Multi-Domain Task Force might accept a less mobile version with more range and power. But overall, this long-range offensive cyber/EW/SIGINT capability is essentially a supersized version of what the TLS-BCT will do, albeit operating over much greater distances. The other truck, however, adds a dimension absent from the brigade-level TLS-BCT: a high-powered but relatively short-ranged defensive EW capability to protect key sites like division, corps, and theater command posts. It'll be crewed by four electronic warfare soldiers, but there's no SIGINT on this variant. Instead, it'll have an “electronic countermeasure point defense suite” – again, using a mix of jamming, wireless hacking, and deceptive signals – to decoy or disable incoming enemy drones, missiles, rockets, and artillery rounds, many of which rely on radar for guidance and fusing. Because it's mounted on trucks, TLS-EAB can be a lot bigger and more powerful than the Stryker-mounted TLS-BCT or the drone-mounted jamming/sensing system known as MFEW-Air-Large. But it will share data with those systems, because they'll be closer to the front line and/or able to fly over obstacles to see distant threats. TLS-EAB will also link to other Army and interservice systems like the EWPMT command-and-control software and the TITAN satellite terminal. The defensive suite, in particular, will get warning of incoming threats from air & missile defense networks – which we can presume includes the Army's forthcoming IBCS – to “national technical means,” such as spy satellites. Now, the three Army colonels who briefed the AOC CEMAlite conference this afternoon didn't provide any details on what kind of incoming missiles the TLS-EAB defensive suite is meant to stop. Actually jamming an inbound hypersonic or ballistic missile might be prohibitively hard since those weapons fly so fast – Mach 5 and up – and may only be in range for seconds. But if you deceive the enemy's reconnaissance and targeting systems into shooting at a decoy instead of the real target, it doesn't matter how fast their missiles are — they'll still miss. It's also worth noting that the Army hasn't locked down the formal requirements for this system – a draft Abbreviated Capabilities Development Document (ACDD) is in the works – and the service intends to leave plenty of leeway for industry to propose out-of-the-box ideas. “These are our initial concept ideas and not intended to constrain or limit the industrial solution space,” said Col. Jennifer McAfee. “Please think of this is a starting point in a long and mutually beneficial conversation.” That said, all proposals need to rely on an Army-sponsored software framework known as Photon and a set of technical standards known as CMOSS. Both are intended to let the service plug and play components from different vendors instead of getting locked into one company's proprietary solution that's not compatible with other people's innovations. There's also an official Software Development Kit (SDK) to let companies integrate their sensors into the Army-standard systems. What the Army rolled out today was a draft concept of operations (CONOP) for TLS-EAB, explained the Army project manager, Col. Kevin Finch. Looking ahead, he outlined an ambitious schedule: January 2021: The Army will hold an initial industry day for interested vendors (TBD whether it'll be in-person or online). February-March 2021: Individual vendors will have the opportunity to meet one-on-one with Army officials. Meanwhile the service will put together a draft Request For Proposals (RFP) and circulate it for industry feedback. June 2021: a second industry day. July 2021: the release of the final RFP and the official launch of what's known as a Middle-Tier Acquisition process. Fall 2023 (first quarter of federal fiscal year 2024): the First Unit Equipped (FUE) will receive prototype TLS-EAB vehicles. If TLS-EAB can stick to that 2023-2024 timeline, it'll enter service along with a host of new long-range Army systems, from howitzers and hypersonics to intermediate-range missiles and missile defense lasers. But between the budgetary hit from COVID and the upcoming election, it's far from certain the Army can afford it all. https://breakingdefense.com/2020/09/army-wants-new-mega-jammer-in-2023-tls-eab/