Northrop to showcase Project Scion tech payloads for unmanned vessels

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  23 janvier 2019 | International, Terrestre

  DARPA: Teams Will Test Concepts for Exploring Underground in SubT Integration Exercise

  In early April, nine qualified teams will attempt to remotely navigate the dark and dirty corridors of Edgar Experimental Mine in Idaho Springs, Colorado, in preparation for the Circuits Stage of the DARPA Subterranean (SubT) Challenge later this year. The SubT Integration Exercise, known as STIX, offers teams an opportunity to try out their technologies, including robotics, sensors, and communications solutions, in a representative environment. The locations for the Circuits Stage events have not been announced. The Subterranean Challenge seeks to revolutionize how first responders and warfighters operate in human-made tunnel systems, urban underground settings, and natural cave networks that are too dangerous, dark, deep, and unknown to risk human lives. Teams are competing to develop breakthrough technologies that rapidly and remotely map, navigate, and search subterranean environments. To qualify for STIX, teams were required to demonstrate baseline performance capabilities and appropriate safety measures. The participating teams and members are as follows: CERBERUS: CollaborativE walking & flying RoBots for autonomous ExploRation in Underground Settings University of Nevada, Reno ETH Zurich, Switzerland Sierra Nevada Corporation University of California, Berkeley Flyability, Switzerland CoSTAR: Collaborative SubTerranean Autonomous Resilient Robots Jet Propulsion Laboratory California Institute of Technology Massachusetts Institute of Technology KAIST, South Korea CRAS: Center for Robotics and Autonomous Systems Czech Technological University, Czech Republic Université Laval, Canada CRETISE: Collaborative Robot Exploration and Teaming In Subterranean Environments Endeavor Robotics Neya Systems CSIRO Data61 Commonwealth Scientific and Industrial Research Organisation, Australia Emesent, Australia Georgia Institute of Technology Explorer Carnegie Mellon University Oregon State University MARBLE: Multi-agent Autonomy with Radar-Based Localization for Exploration University of Colorado, Boulder University of Colorado, Denver Scientific Systems Company, Inc. PLUTO: Pennsylvania Laboratory for Underground Tunnel Operations University of Pennsylvania Exyn Technologies Ghost Robotics Robotika.cz Robotika.cz, Czech Republic Czech University of Life Science, Czech Republic The SubT Challenge comprises two competitions – the Systems Competition, where teams will develop novel hardware solutions to compete in physical underground environments, and the Virtual Competition, where teams will develop software-based solutions to test in simulated scenarios. Teams will compete in three preliminary Circuit events and a Final event pursuing high-risk and high-reward approaches. The Final event, planned for 2021, will put teams to the test with courses that incorporate diverse challenges from all three environments. Teams in the Systems track will compete for up to $2 million in the Systems Final event, with up to $200,000 in additional prizes available for self-funded teams in each of the Systems Circuit events. Teams in the Virtual track will compete for up to $1.5 million in the Virtual Final event, with additional prizes of up to $500,000 for self-funded teams in each of the Virtual Circuit events. Other teams interested in participating in the SubT Challenge may submit their qualification materials to be eligible for future events. The next qualification deadline is April 22, 2019, to establish eligibility for the Tunnel Circuit in August. Requirements can be found in the SubT Qualification Guide available on the Resources Page. Interested teams are also encouraged to join the SubT Community Forum, where they can engage with other participants and ask any questions. For additional information on the DARPA Subterranean Challenge, please visit www.subtchallenge.com. Please email questions to SubTChallenge@darpa.mil. https://www.darpa.mil/news-events/2019-01-22

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  7 novembre 2018 | International, Naval, C4ISR

  The chief of naval research on AI: ‘If we don’t all dogpile on this thing, were going to find ourselves behind’

  By: Jill Aitoro Most of us are comfortable with Suri, or Alexa, or “Hey, Google.” But many will tell you artificial intelligence and autonomy in the context of military operations is a whole a different animal. That said, if you ask Rear Admiral David Hahn, one factor remains the same: the need for trust. Understand the algorithm and the consequences, he argues, but then relinquish (some) control. He shared his vision of AI in the military in an interview following the Defense News Conference in September. Much of the discussion around artificial intelligence and autonomy involves the proper role of machine versus human. Where do you stand? We're at an inflection point for what technology will allow us to do. For artificial intelligence that could be brought to bear in the military context, there has been anexpectation that the human is always going to be in control. But as the sophistication of these algorithms and the sophistication of the application of the tools now out there mature, and are brought into the operational space, we need to get at a place of trust. [We need trust] between the algorithm, what's behind that curtain, and our ability as the humans to agree that the decision or the space that it's going to operate in – the context in which its making that decision – is understood by us. And that more and more is going to have to happen at machine speed, because when machines are interacting with machines, we're going to have to comfortably move from a human in the loop to a human on the loop. That doesn't mean it's an unsupervised act; it means we understand it well enough to trust it. So, there is relinquishing of control? There is, but there are clearly pieces of our system today where we do that. That happens when you let your car park itself – you relinquish that control and trust that the machine is not going to run into the grocery cart behind you or the car next to you. That's already part of the conversation. And as we get more used to machines performing, and performing accurately over and over and over, our ability to trust these machines [increases], if we understand the algorithm and the consequence. It's not ‘I just ran into a shopping cart' if the consequence we're talking about is the release of weapons, or something along those lines; but we've gotten to the point where we're comfortable [because of our understanding of the technology]. We had similar conversations in recent years on cybersecurity, in terms of confidence in the technology, whether we could be sure networks are properly protected, and accepting a degree of risk. Has progress there helped with progress in AI? I think it's helping and it will continue to drive us toward this human-machine teaming environment that we all see coming. There are clearly pieces of our system that make us uncomfortable. But we see more and more, that if we don't take the action to allow it to occur, we might as well have not even created the tool. It's a shift in culture, beyond policy. Is that happening yet? Or is it too soon to expect that? I don't think we're too early, and I think it's happening. And it's going to be one of those things where we didn't know it was happening, then we find ourselves there. Ten years ago, the App Store opened. Can you imagine a world without the App Store and what that's enabled you to do in your daily life with your smartphone? The young people today are almost at a point where there was never a world without a smartphone, there was never a world without an App Store. If you start at that point, this is not a big leap. It's happening around us, and we just need to find a way to keep up. Looking ahead, 5 or 10 years, how do you see AI being used in an operational capacity? The limiting factor is not going to be the tools. To borrow a phrase, the ‘democratization' of the tools that are associated with developing AI capabilities will allow anybody to work on the data. Our challenge will be whether we have harnessed our own data and done it in a way where we can make the connections between relevant data sets to optimize the mission effect we could get by applying those tools available to everybody. That's our challenge. And it's a challenge we'll need to figure out within each service, amongst the services in the joint environment, from that joint environment into the same space with partners and allies, from the DoD or military into the industrial base, all while moving seamlessly across academia, and [keeping in mind how] the commercial industry plays. If we don't all dogpile on this thing, were going to find ourselves behind in this great power competition in a very important space. So, establish a playbook so to speak? And recognize that as soon as we've established that playbook, it will change. https://www.c4isrnet.com/it-networks/2018/11/06/the-chief-of-naval-research-on-ai-if-we-dont-all-dogpile-on-this-thing-were-going-to-find-ourselves-behind

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  2 mai 2022 | International, Terrestre

  Chile buys light armored vehicles from New Zealand in $20M deal

  Up to 40 vehicles are needed in the long term, and could come from either from New Zealand or other countries where they're available, according to military sources in Chile.