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Category: drones – Page 61

A team from the University of Zurich has trained an artificial intelligence system to fly a drone in a virtual environment full of obstacles before setting it loose in the real world, where it was able to weave around obstacles at 40 kph (25 mph), three times as fast as the previous best piloting software. Lead researcher Davide Scaramuzza, Director of the Robotics and Perception Group, says the work, carried out in partnership with Intel, could revolutionize robotics by enabling machines to learn virtually.

A paper describing the project, Learning high-speed flight in the wild, was published this month in the journal Science Robotics.

“Our approach is a stepping stone toward the development of autonomous systems that can navigate at high speeds through previously unseen environments with only on-board sensing and computation,” the paper concludes.

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It seems inevitable that sooner or later, the performance of autonomous drones will surpass the performance of even the best human pilots. Usually things in robotics that seem inevitable happen later as opposed to sooner, but drone technology seems to be the exception to this. We’ve seen an astonishing amount of progress over the past few years, even to the extent of sophisticated autonomy making it into the hands of consumers at an affordable price.

The cutting edge of drone research right now is putting drones with relatively simple onboard sensing and computing in situations that require fast and highly aggressive maneuvers. In a paper published yesterday in Science Robotics, roboticists from Davide Scaramuzza’s Robotics and Perception Group at the University of Zurich along with partners at Intel demonstrate a small, self-contained, fully autonomous drone that can aggressively fly through complex environments at speeds of up to 40kph.

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In a world first, US scientists on Thursday piloted a camera-equipped ocean drone that looks like a robotic surfboard into a Category 4 hurricane barreling across the Atlantic Ocean.

Dramatic footage released by the National Oceanic and Atmospheric Administration showed the small craft battling 50-feet (15 meter) high waves and winds of over 120 mph (190 kph) inside Hurricane Sam.

The autonomous vehicle is called a “Saildrone” and was developed by a company with the same name.

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In an interview with Reuters, Jaime Pereira, CEO of Aerocamaras, said “it’s the first time an animal is being rescued with a drone and the first time it has to be captured. If that’s the last option that the dogs have? Then we’re going after them.” Pereira also mentioned a possible nightmare scenario caused by the limitations of drone battery technology, and the tricky nature of the operation, which relies partly on the cooperation of the stranded canines: “What we don’t want is to run out of battery when flying over the lava,” he said. In order to carry out the mission as safely as possible, the drone operator is currently carrying out test flights to practice before sending its drones to the location near the live volcano.

Though this is likely the first time a dog has been carried to safety by a drone, operators in China guided a herd of wayward elephants home with the aid of drones. In that case, however, the drones were only used to keep track of the animals. The technology is also being trialed for first responder operations in the case of natural disasters and emergencies. Here’s hoping the novel method for extracting the otherwise inaccessible animals to safety goes off without a hitch.

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“This speed bag resupply feature is a game changer for the warfighter,” said in a statement Mike Goodwin, sales and strategy manager Bell. “With the ability to drop supplies quickly and efficiently in a drop zone or a remote location, we can get critical supplies delivered as soon as they’re needed.”

Bell claims the APT has already flown 420 times at U.S. Marine Corps Air Station Yuma, in Georgia, and other sites. Now, the company is seeking to demonstrate how the aircraft can drop supplies on demand at its cruising speed of 80 mph (129 km/h).

For now, the vehicle’s main advantage is that it will simply drop the transported goods quickly near the location, allowing personnel to immediately retrieve supplies without needing to wait for aircraft to land and takeoff. This allows the drone to conserve battery power by minimizing hover time, extending its mission range and time, and increasing the chances the aircraft will survive.

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German air taxi manufacturer Volocopter launched a self-developed heavy-duty drone in public for the first time on Tuesday at the ITS World Congress in Hamburg.

In cooperation with German logistics provider DB Schenker, the company demonstrated the integration of the VoloDrone into logistics supply chains.

The test flight, which lasted about three minutes, took place around the harbor area of the city in northern Germany. The ITS congress is an international digital transport event.

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Thanks to artificial intelligence, drones can now fly autonomously at remarkably high speeds, while navigating unpredictable, complex obstacles using only their onboard sensing and computation.

This feat was achieved by getting the drone’s neural network to learn flying by watching a sort of “simulated expert” – an algorithm that flew a computer-generated drone through a simulated environment full of complex obstacles. Now, this “expert” could not be used outside of simulation, but its data was used to teach the neural network how to predict the best trajectory, based only on the data from the sensors.

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Researchers at the California Institute of Technology (Caltech) have built a bipedal robot that combines walking with flying to create a new type of locomotion, making it exceptionally nimble and capable of complex movements.

Part walking robot, part flying drone, the newly developed LEONARDO (short for LEgs ONboARD drOne, or LEO for short) can walk a slackline, hop, and even ride a skateboard. Developed by a team at Caltech’s Center for Autonomous Systems and Technologies (CAST), LEO is the first robot that uses multi-joint legs and propeller-based thrusters to achieve a fine degree of control over its balance.

“We drew inspiration from nature. Think about the way birds are able to flap and hop to navigate telephone lines,” explained Soon-Jo Chung, Professor of Aerospace and Control and Dynamical Systems. “A complex yet intriguing behaviour happens as birds move between walking and flying. We wanted to understand and learn from that.”

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