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(3) stories found containing 'exyn unveils next gen drone technology'


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  • Sandvik Mining and Rock Solutions Exyn Technologies automated drones PDAC

    Glimpse of mining future unveiled at PDAC

    Shane Lasley, Metal Tech News|Updated Jul 10, 2022

    The future of automated underground mining – where drones self-navigate through a labyrinth of underground mine workings and send back high-accuracy 3D data that can be used to guide autonomous mining equipment – is closer than you think. Sandvik Mining and Rock Solutions (formerly Sandvik Mining and Rock Technologies) and Exyn Technologies Inc. offered Prospectors & Developers Association of Canada (PDAC) convention attendees a glimpse of the mining autonomy horizon in a vide...

  • Exyn Technologies Inc. C.R. Kennedy autonomous drone Clinton Harn Nadar Elm

    Exyn shares gift of autonomy to Outback

    A.J. Roan, Metal Tech News|Updated Jul 10, 2022

    The award-winning and rapidly growing autonomous drone company, Exyn Technologies, gains Australian market exposure by partnering with C.R. Kennedy, one of the largest providers of survey equipment for mining in Australia. As Exyn's first international distributor, C.R. Kennedy will make the company's autonomous aerial robot systems for complex, GPS-denied environments available to mining and other industrial sectors Down Under. As one of the world's most prolific mining...

  • Exyn autonomous aerial robots for mapping lidar data collection compilation

    Exyn unveils next gen drone technology

    A.J. Roan, For Metal Tech News|Updated Jul 10, 2022

    Exyn Technologies launches the newest drone in its lineup of aerial robots, the ExynAero, along with ExynPak, a new portable format that allows users to take advantage of the drone's mapping and other features where autonomy is not needed or practical. Already well known for its previous work in autonomous aerial robot systems, the award-winning Exyn Technologies has continued to pursue a truly autonomous drone that can intelligently navigate and dynamically adapt to complex G...