Steve Arar for All About Circuits: Humans use language to tap into the knowledge of others and learn skills faster. This helps us hone our intuition and go through our daily activities more efficiently. Inspired by this, Google Research, DeepMind (its UK artificial intelligence lab), and Google X have decided to allow their robots share their experiences. Sharing the learning process among multiple robots, the research team has considerably expedited general-purpose skill acquisition of robots.
Using an artificial neural network, we can teach a robot to achieve a goal by analyzing the result of its previous experiences. At first, the robot may seem to act randomly simply working based on trial and error. However, it examines the result of each trial and, if satisfactory, focuses on similar experiments during the next trials. Making a connection between each experience and the obtained result, the robot would be able to gradually make better choices. Cont'd...
CES2917 - PowerVision Unveils PowerRay Underwater Robot with Revolutionary Technology Breakthroughs to Redefine Recreational Fishing
Tom Simonite for MIT Technology Review: Each of these trucks is the size of a small two-story house. None has a driver or anyone else on board.
Mining company Rio Tinto has 73 of these titans hauling iron ore 24 hours a day at four mines in Australia’s Mars-red northwest corner. At this one, known as West Angelas, the vehicles work alongside robotic rock drilling rigs. The company is also upgrading the locomotives that haul ore hundreds of miles to port—the upgrades will allow the trains to drive themselves, and be loaded and unloaded automatically.
Rio Tinto intends its automated operations in Australia to preview a more efficient future for all of its mines—one that will also reduce the need for human miners. The rising capabilities and falling costs of robotics technology are allowing mining and oil companies to reimagine the dirty, dangerous business of getting resources out of the ground. Cont'd...
Alan Boyle for GeekWire: If there are any Robin Hoods out there who are thinking about shooting down drones while they’re making deliveries, Amazon has a patented plan to stop you.
The patent, filed in 2014 but published just last week, lays out countermeasures for potential threats ranging from computer hacking to lightning flashes to bows and arrows.
If nothing else, the 33-page application illustrates how many things could possibly go wrong with an autonomous navigation system for unmanned aerial vehicles, or UAVs.
The “compromise system” that Amazon’s engineers propose relies on an array of sensors to orient the drone based on the sun’s position in the sky, if need be. That’s in case the drone gets confused by, say, lightning or a muzzle flash. Cont'd...
Steve Arar for All About Circuits: Recently, Vijay Kumar’s lab at the University of Pennsylvania in cooperation with researchers from Qualcomm has unveiled a quadrotor which can fly aggressively through a window. You may think that you have seen similar robots before; however, there is a big difference between previously designed robots and this new technology.
Generally, to exhibit challenging maneuvers, a quadrotor depends on an array of cameras mounted on the walls and some external processors. The image captured by the cameras is processed and the outcome is delivered to the robot. The computer can issue precise commands and the only thing that the robot needs to do is to follow the orders. However, the new robot performs both the image capturing and processing onboard.
The quadrotor carries an IMU, a Qualcomm Snapdragon, and Hexagon DSP. With the onboard sensors and processors, the robot is able to perform localization, state estimation, and path planning autonomously. Cont'd...
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