Terrifying video shows Chinese super drones hunting humans in PACKS – amid fears they could be primed to KILL
TERRIFYING footage has emerged showing Chinese super drones hunting down humans in packs, sparking fears they could soon be primed to kill.
The breakthrough achievement has prompted concerns that they could put to sinister use.
A team from Zhejiang University in China released incredible footage of 10 lightweight drones filmed moving swiftly between trunks, uneven ground, weeds and tangled branches.
The impressive bit of hardware runs off an algorithm and charts surroundings in real-time meaning it can readjust its flight path in an instant, according to The Telegraph.
According to experts, these high-tech drones update every few milliseconds which means they can avoid colliding with other objects and can quickly regroup with others to flight with super efficiency.
And because they don't need GPS signal, they can be easily deployed in areas with poor satellite coverage.
MORE ON DRONES
Dramatic moment Ukrainian drone sinks two Russian gunboats after ‘direct hit’
Robots and drones may patrol Chernobyl after Russians ‘stole radiation monitors’
Experts say the tech will make surveying remote wildlife or hunting for survivors in disaster zones much easier.
But in a chilling turn of events, the crew at Zhejiang University also trialled the drones on a man making his way through a cluster of trees.
The bots were also to keep focus even when the man hid behind objects to shield himself from the cameras.
Addressing the breakthrough in the journal Science Robotics, researchers said: "The swarms’ capability of navigation and coordination in these films has attracted and inspired numerous researchers. Here, we take a step forward to such a future."
Most read in The Sun
JACK THE LAD Jack Grealish looking to score with Love Island hopeful after liking her pics
Michelle Heaton in tears on Loose Women over rehab letter from husband
RAF jets escorting plane over London sparks panic – but there's an explanation
Tipping Point fans heartbroken after contestant dies following filming
Dr Jonathan Aitken from Sheffield University hailed the development, telling New Scientist it was an "excellent achievement".
"To achieve a quality map, built from a distributed collection of robots, of the detail demonstrated is an excellent piece of engineering.
"To couple this with the additional successful navigation and avoidance of obstacles, and critically other members of the swarm, is an excellent achievement."
It's not the first time China's tech developments have been a cause for concern.
Last year, Beijing unveiled a terrifying new war machine that can unleash swarms of “suicide” drones at troops and tanks.
A clip showed dozens of the deadly devices being launched from a weapons system mounted to the back of a truck and also being dropped from helicopters.
The China Academy of Electronics and Information Technology's video showed 48 attack weapons being launched with compressed air before using an electric propeller to fly towards and then overwhelm their targets.
Each carries highly-explosive charges designed to rip through tanks and annihilate armoured vehicles.
Paul Scharre, former senior Pentagon official and expert on drone warfare, said the clip shows how well China’s drone programme is progressing.
He told the Times: “We can’t see from the Chinese video whether the drones are communicating and co-ordinating with each other.
“It could just be a launch of drones like the launch of missiles from a multiple-launch rocket system.
“However, the test shows that China is developing swarm drone systems and they could be operational in a few years.”
Read More on The Sun
Defiant Boris Johnson shrugs off ‘tough night’ of election losses
Hairy Bikers Dave Myers reveals he’s battling cancer and having chemo
The drones looked similar to China’s CH-901 unmanned aerial vehicle (UAV) which were first seen in 2018.
They can hover in the skies for up to 40 minutes while scouring for a target, according to experts from The War Zone website.
Source: Read Full Article