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Category: drones – Page 70

Voyager 1—one of two sibling NASA spacecraft launched 44 years ago and now the most distant human-made object in space—still works and zooms toward infinity.

The craft has long since zipped past the edge of the solar system through the heliopause—the solar system’s border with interstellar —into the interstellar medium. Now, its instruments have detected the constant drone of interstellar gas (), according to Cornell University-led research published in Nature Astronomy.

Examining data slowly sent back from more than 14 billion miles away, Stella Koch Ocker, a Cornell doctoral student in astronomy, has uncovered the emission. “It’s very faint and monotone, because it is in a narrow frequency bandwidth,” Ocker said. “We’re detecting the faint, persistent hum of interstellar gas.”

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autonomous air vehicle company ehang unveils ‘baobab’, a large tree-like tower and landing platform for its EH216 passenger drones. designed by giancarlo zema design group (GZDG) with sustainability at the core, photovoltaic panels on the vertiports will generate energy and independent plug-and-play charging points will recharge the drones wirelessly. currently in the development stage, ehang and GZDG hope to enter the emerging global eco-tourism sector with hubs being planned for a lakeside site in china’s zhaoqing city as well as in the maldives, the united arab emirates, and italy.

Images courtesy of giancarlo zema design group (GZDG)

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Fully autonomous exploration and mapping of the unknown is a cutting-edge capability for commercial drones.

Drone autonomy is getting more and more impressive, but we’re starting to get to the point where it’s getting significantly more difficult to improve on existing capabilities. Companies like Skydio are selling (for cheap!) commercial drones that have no problem dynamically path planning around obstacles at high speeds while tracking you, which is pretty amazing, and it can also autonomously create 3D maps of structures. In both of these cases, there’s a human indirectly in the loop, either saying “follow me” or “map this specific thing.” In other words, the level of autonomous flight is very high, but there’s still some reliance on a human for high-level planning. Which, for what Skydio is doing, is totally fine and the right way to do it.

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Are drone swarms for firefighting the future of fire supression? New work from engineer and mathematician Elena Ausonio and a team of Italian researchers suggests that they could be.

The following is a guest post by Max Lenz, Executive Editor and project manager at the Berlin-based DroneMasters Boost GmbH and editor of the weekly DroneMasters Briefing. DRONELIFE neither makes nor accepts payment for guest posts.

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The project is a part of a much wider effort to bring artificial intelligence into the operating room. Using many of the same technologies that underpin self-driving cars, autonomous drones and warehouse robots, researchers are working to automate surgical robots too. These methods are still a long way from everyday use, but progress is accelerating.

Real scalpels, artificial intelligence — what could go wrong?

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To enable the efficient operation of unmanned aerial vehicles (UAVs) in instances where a global localization system (GPS) or an external positioning device (e.g., a laser reflector) is unavailable, researchers must develop techniques that automatically estimate a robot’s pose. If the environment in which a drone operates does not change very often and one is able to build a 3D map of this environment, map-based robot localization techniques can be fairly effective.

Ideally, map-based pose estimation approaches should be efficient, robust and reliable, as they should rapidly send a robot the information it needs to plan its future actions and movements. 3D light detection and ranging (LIDAR) systems are particularly promising map-based localization systems, as they gather a rich pool of 3D information, which drones can then use for localization.

Researchers at Universidad Pablo de Olavide in Spain have recently developed a new framework for map-based localization called direct LIDAR localization (DLL). This approach, presented in a paper pre-published on arXiv, could overcome some of the limitations of other LIDAR localization techniques introduced in the past.

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