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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?

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.

United Parcel Service is taking package delivery to new heights, literally, with the purchase of 10 electric vertical takeoff and landing aircraft from Beta Technologies.

In an announcement Wednesday, Atlanta-based UPS said it will test the eVTOLs for use in its Express Air delivery network, focusing on small and medium markets. The company will operate the eVTOLs under its Flight Forward division, which is also exploring drone delivery.

The new type of aircraft, which looks like a cross between a plane and a helicopter, “unlocks new business models that don’t exist today,” Bala Ganesh, vice president of the UPS Advanced Technology Group, told CNBC. “For example, you can see a future where it’s carrying, let’s say 1000 pounds, 1500 pounds to rural hospitals,” and landing on a helipad instead of an airport.

https://youtube.com/watch?v=KLmmPnMvwNY&feature=share

‘Weapon of Mass Destruction’ is a term used in arms-control circles signifying something capable of damage on a large scale and subject to international treaties. Analyst Zak Kallenborn argues in a recent study for the U.S. Air Force Center for Strategic Deterrence Studies that some types of drone swarm would count as WMD. The argument might seem like the theoretical arms control equivalent of angels dancing on the head of a pin — except that the U.S. Army is working on a lethal swarm which fits Kallenborn’s description. Watch the video for more: https://youtu.be/KLmmPnMvwNY

The massive THANKS YOU to everyone for watching and all of your support!

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As well as Kronshtadt, many other Russian enterprises in the military-industrial complex are developing drones for deployment on the front lines. For example, aircraft manufacturer Sukhoi has teamed up with defense company Mikoyan to build the Okhotnik-B, which will have a top speed of 1000 km/h. Another aerospace company, called OKB Sokol, has developed a UAV named Altius, due to be delivered to the Russian Army this year.


A Russian company is building the country’s first-ever specialized factory solely for manufacturing unmanned aerial vehicles (UAVs). It plans to mass-produce military drones, like those deployed by the Russian Army in Syria.

The 45000-square-meter plant, under construction in the town of Dubna near Moscow, will cost at least four billion rubles ($52 million) and will create jobs for more than 1500 people. If all goes to plan, it will be built in record time, with the launch of production scheduled for November 2021.

The company, called ‘Kronshtadt Group,’ is the developer and manufacturer of the Inokhodets UAV, also known as the Orion. This medium-altitude drone, which is capable of flying for a whole day, can carry a payload of up to 200kg, and has already seen action in the Middle East.

The HiDRON stratospheric glider, a joint project between UAVOS and STRATODYNAMICS, has successfully carried out its regular test flight. UAVOS’ operators launched the stratospheric aircraft from a high-altitude balloon carrying a technology supported by NASA’s Flight Opportunities program successfully deploying an experimental payload to 24 km altitude and back.

Extensive testing was performed to test operation in high altitude flight regimes utilizing UAVOS’ autopilot system and payload test services. A launch routine was tested allowing a safe transition from free-fall to stable horizontal flight in thin air after being dropped from the balloon. UAVOS’ autopilot system has once again proven its superior long-range performance Beyond Visual Line of Sight (BVLOS) capabilities.

The payload was a combination of forward-sensing turbulence detection technologies developed by the University of Kentucky (UK) in Lexington and NASA’s Langley Research Centre in Hampton, Virginia. The flight test aimed to help researchers assess the performance of a wind probe from the UK along with an infrasonic microphone sensor. Together, the instruments are designed to aid forward-sensing turbulence detection for unmanned aerial vehicles, commercial aircraft, the urban air mobility market, and the on-demand drone delivery sector.