Results


California bans drones from delivering marijuana

Daily Mail

It says transportation must be via commercial vehicles and trailers and bans aircraft, watercraft, rail, drones, human powered vehicles, and unmanned vehicles. They'll also have to retain distribution records and enter transport and shipment information into a California'track-and-trace' database. 'Transportation may not be done by aircraft, watercraft, rail, drones, human powered vehicles, or unmanned vehicles.' The strict regulations put a major dent in the plans of startups like Trees Delivery, Eaze, and MDelivers, which planned or envisioned using drones to make marijuana deliveries in the future.


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IEEE Spectrum Robotics Channel

During the Hands Free Hectare project, no human set foot on the field between planting and harvest--everything was done by robots. To make these decisions, robot scouts (including drones and ground robots) surveyed the field from time to time, sending back measurements and bringing back samples for humans to have a look at from the comfort of someplace warm and dry and clean. With fully autonomous farm vehicles, you can use a bunch of smaller ones much more effectively than a few larger ones, which is what the trend has been toward if you need a human sitting in the driver's seat. Robots are only going to get more affordable and efficient at this sort of thing, and our guess is that it won't be long before fully autonomous farming passes conventional farming methods in both overall output and sustainability.


Drones won't be delivering weed in California any time soon

Engadget

In the near future, your pizza, Big Mac, and groceries could all be delivered autonomously. The California Bureau of Cannabis Control recently declared that weed deliveries cannot be made by autonomous vehicles -- that includes UAVs and unmanned self-driving cars. "Transportation may not be done by aircraft, watercraft, rail, drones, human-powered vehicles, or unmanned vehicles," according to the bureau's business licensing regulations. As Ars Technica points out, the likes of MDelivers, Eaze, Trees Delivery have all promised to autonomously deliver your pot.


Drones and Robots Are Taking Over Industrial Inspection

MIT Technology Review

The effort shows how low-cost drones and robotic systems--combined with rapid advances in machine learning--are making it possible to automate whole sectors of low-skill work. Avitas uses drones, wheeled robots, and autonomous underwater vehicles to collect images required for inspection from oil refineries, gas pipelines, coolant towers, and other equipment. Nvidia's system employs deep learning, an approach that involves training a very large simulated neural network to recognize patterns in data, and which has proven especially good for image processing. It is possible, for example, to train a deep neural network to automatically identify faults in a power line by feeding in thousands of previous examples.


The Lily drone is back in perhaps the saddest rebirth in gadget history

Mashable

The Lily drone is one of the biggest failures in Kickstarter history -- and now it's making a comeback in perhaps the saddest possible way. Now, the Mota Group (who recently bought rights to the name) is announcing a reborn "Lily Next-Gen" drone that looks practically identical to the original version. There's only one catch: The new drone is missing all of the awesome technology promised in the original drone that made it so exciting in the first place. For example, the new Lily drone will not be waterproof, will not come with a wrist-mounted controller, and most importantly, you won't be able to launch the vehicle by simply throwing it in the air.


Leading AI country will be 'ruler of the world,' says Putin

@machinelearnbot

U.N. urged to address lethal autonomous weapons AI experts worldwide are also concerned. Armed with a heavy machine gun, this "mobile robotic complex … can detect and destroy targets, without human involvement." "In autonomous mode, the vehicle can automatically identify, detect, track and defend [against] enemy targets based on the pre-programmed path set by the operator," the company said. "* Designed initially for the DMZ, Super aEgis II, a robot-sentry machine gun designed by Dodaam Systems, can identify, track, and automatically destroy a human target 3 kilometers away, assuming that capability is turned on.


Airbus' Vahana Flying Car Uses Laser Sensors to Pick out Landing Spots

WIRED

Airbus calls its self-flying flying car Vahana, and is working on it at its Silicon Valley outpost A 3 (pronounced "a cubed"). If all goes according to plan, Vahana will use a Near Earth Autonomy technology called Peregrin. Singh has spent 25 years working on sensors for autonomous cars and aircraft, and spun off Near Earth Autonomy from Carnegie Melon University five years ago. That said, a lot of work remains to be done, and Neva Aerospace, a European consortium driving the development of key technologies for flying cars, believes fully autonomous flights remain a long ways off.


Ford self-driving cars might have a removable parts

Daily Mail

On August 10, Ford was granted a patent for a system that would make an autonomous car include removable driving equipment. 'The lack of a steering wheel can handicap development by making it more difficult to place under driver control,' the patent reads, adding driver control is important for vehicle development purposes. The University of Michigan opened the $6.5m, 32 acres Mcity, the world's first controlled environment specifically designed to test the potential of connected and automated vehicle technologies that will lead the way to mass-market driverless cars Ford was the first major car maker test autonomous vehicles at Mcity – the full-scale simulated real-world urban environment at the University of Michigan. Occupying 32 acres at the University's North Campus Research Complex, M City includes approximately five lane-miles of roads with intersections, traffic signs and signals, sidewalks, benches, simulated buildings, street lights and obstacles Occupying 32 acres at the University's North Campus Research Complex, it includes approximately five lane-miles of roads with intersections, traffic signs and signals, sidewalks, benches, simulated buildings, street lights, and obstacles such as construction barriers Vehicle passenger would be able to control the drone using the car's'infotainment,' or navigation system.


Amazon building mobile drone stations, suggests patent

Daily Mail

On board computer systems could calculate the best place for a drone and vehicle to meet depending on how fast the vehicle is going or how much battery life the drone has. 'The intermodal vehicles may be coupled to locomotives, container ships, road tractors or other vehicles, and equipped with systems for loading one or more items onto the aerial vehicle, and for launching or retrieving the aerial vehicle while the intermodal vehicles are in motion.' The patent, which was published with the US Patent and Trademark Office, states: 'A multi-level (ML) fulfillment centre is designed to accommodate landing and takeoff of unmanned aerial vehicles (UAVs), possibly in an urban setting, such as in a densely populated area. The hive is designed to accomodate landing and takeoff of unmanned aerial vehicles in urban settings where there isn't space to build outwards The patent states: 'There is a growing need and desire to locate fulfillment centres within cities, such as in downtown districts and densely populated parts of the cities.


Amazon delivery drones could scan your home

Daily Mail

Amazon's futuristic fleet of autonomous delivery drones could be equipped with data grabbing sensors, according to a patent granted to the firm. Amazon's futuristic fleet of autonomous delivery drones could be equipped with data grabbing sensors, according to a patent (pictured) granted to the firm. This would analyse the information recorded, including photos, video footage and audio recordings, and make recommendations based on what the drones have observed. This would analyse the information recorded, including photos, video footage and audio recordings, and make recommendations based on what the drones have observed.