The U.S. Army's Autonomous Remote Engagement System is mounted on the Picatinny Lightweight Remote Weapon System and coupled with an M240B machine gun. It's part of a program that reduces the time to identify targets using automatic target detection and user-specified target selection. The U.S. Army's Autonomous Remote Engagement System is mounted on the Picatinny Lightweight Remote Weapon System and coupled with an M240B machine gun. It's part of a program that reduces the time to identify targets using automatic target detection and user-specified target selection. Killer robots have been a staple of TV and movies for decades, from Westworld to The Terminator series.
It takes a lot of practice to fly a drone with confidence. Whether it's a multirotor or a fixed-wing drone, there are a lot of complicated things going on all at once, and most of the control systems are not even a little bit intuitive. The first-person viewpoint afforded by drone-mounted cameras and VR headsets helps, but you're still stuck with trying to use a couple of movable sticks to manage a flying robot, which takes both experience and concentration. EPFL has developed a much better system for drone control, taking away the sticks and replacing them with intuitive and comfortable movements of your entire body. It's an upper-body soft exoskeleton called FlyJacket, and with it on, you can pilot a fixed-wing drone by embodying the drone--put your arms out like wings, and pitching or rolling your body will cause the drone to pitch or roll, all while you experience it directly in immersive virtual reality.
The Lincoln Journal Star reports that a crashed drone attached with bags of marijuana and tobacco was found at the Lincoln Correctional Center two months ago. The Justice Department reported last year an increasing number of attempts to use drones to smuggle contraband into federal prisons over the past five years.
A postal drone in Russia crashed into a wall and smashed into pieces during its maiden flight. The unmanned aerial vehicle took off to deliver a small package to a village near Ulan-Ude, a city in Siberia, but hit a three-storey building shortly after lifting off from a mini launch pad in front of a crowd of spectators. The drone had been touted as a new way to deliver post in the rural Buryatia region, located more than 2,700 miles from the Russian capital Moscow. Video footage of the crash showed the vehicle taking off before veering into the apartment building and showering onlookers with debris. No one was harmed in the incident.
An American military drone strike over the weekend in southern Libya killed a top recruiter and logistics specialist for Al Qaeda's branch in northwest Africa, the Pentagon said on Wednesday, and a senior military official warned of more attacks on extremists there. The military's Africa Command said in a statement that the attack killed two militants, one of whom was identified as Musa Abu Dawud, a high-ranking official in Al Qaeda in the Islamic Maghreb, known as AQIM. Mr. Dawud trained Qaeda recruits in Libya for strike operations in the region, and provided logistics, money and weapons that enabled the group to threaten and attack American and Western interests, the military statement said. Until now, the Pentagon had focused its counterterrorism strikes in Libya -- eight since President Trump took office -- almost exclusively on Islamic State fighters and operatives farther north. Over several months in 2016, the military conducted nearly 500 airstrikes in the coastal city of Surt to destroy the Islamic State's stronghold there.
Californian company Skycatch is building drones that will use machine learning to map sites, plan work, and even guide autonomous construction vehicles on building sites. Clear for takeoff: According to New Scientist, over 5,000 Japanese building sites have used Skycatch drones over the past three years to map construction sites. It takes the drones 15 minutes to scan a site and make a map of its terrain--a process that takes a team of humans several days. A flying foreman: The drones use AI that has been trained on data like labeled aerial YouTube footage depicting different kinds of industrial equipment. That enables them to study footage of a building site as they fly overhead, determine where vehicles are, and suggest how they should be moved.