UAS VISION
an independent online news service for the Unmanned Aircraft Systems world
Qualcomm Technologies, Inc. has announced the Qualcomm Robotics RB5 platform – the Company’s most advanced, integrated, comprehensive offering designed specifically for robotics. Building on the successful Qualcomm Robotics RB3 platform and its broad adoption in a wide array of robotics and drone products available today, the Qualcomm Robotics RB5 platform is comprised of an extensive […]
Skyways Autonomous Mission A group of entrepreneurs presented their nascent products and discoveries during a virtual pitch meeting on April 8 held as part of Starburst Aerospace Accelerator’s latest Selection Committee event. Headquartered in Paris, Starburst’s U.S. team brought in 10 hopeful companies, all vying for partnership agreements, venture capitalist funding and a chance to join Starburst’s […]
As NASA looks to the future of flight, the agency is investing in technologies aimed at changing the aviation industry as we know it. These developments vary from basic materials to full-scale experimental aircraft, all designed to increase efficiency and reliability, while decreasing weight and cost.
Drone Champions AG, creators of the Drone Champions League and DCL – The Game, have announced their newest innovation: the first-ever manned drone capable of aerobatic maneouvers such as rolls and loops.
Kratos has shown off a launcher for its low-cost XQ-58A Valkyrie unmanned combat air vehicle (UCAV) that fits inside a standard shipping container.
A fisherman has taken flight at a Victorian reservoir after two years of work, a shed that almost burned to the ground and a prototype that got wrapped around a tree. A group of friends watched as stuntman Sam Foreman was lifted off the ground by a drone, cast a line at the Upper Coliban […]
Going back to the time of Leonardo da Vinci, animal flight has inspired human enquiry, and we have sought to emulate nature by building machines that attempt to fly using flapping wings. In a paper in Nature, Jafferis et al.1report a key step towards the emulation of insect flight with what they claim to be the lightest insect-scale […]
At Caltech’s Center for Autonomous Systems and Technologies (CAST), artificial intelligence experts have teamed up with control experts to develop a system that uses a deep neural network to help autonomous drones “learn” how to land more safely and quickly, while gobbling up less power.