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Researchers train robot dog to pick itself back up after a fall
Researchers have taught a robot dog to overcome one of the toughest challenges for a four-legged droid: how to get back up after a fall. In a paper published in the Science Robotics journal, its Swiss creators describe how they trained a neural network in a computer simulation to make the ultimate guard bot. Then they went and kicked the canine around in real life (because that's what researchers do) to see if their technique worked. It did: the robot's digital training regimen made it 25 times faster, more resilient, and able to adapt to any given environment, according to the team.