If machines can learn as adeptly as children do, the military thinks they might be able to help out in useful ways.
Learning to walk is about learning from failure, and then trying again. Each new footstep carries with it a weight imbalance, and the possibility that the ground underneath will be a different texture or density than what it was before. A toddler who learns to walk while on the rocking deck of a ship may struggle when, on dry land, the ground under foot doesn’t move in the expected way.
“The ultimate goal, though, is to enable computer systems and robotic systems to be able to be trained in much the same way that we train soldiers in technical areas that they work on within the military,” says Shrobe.Shrobe imagines how useful it could be if machines could learn as adeptly as humans do.
For machines learning physical tasks, that knowledge can be acquired not by reading manuals, but by performing and adapting with programming capable of taking unexpected changes and turning it into knowledge. One example is a four-legged robot learning to maintain balance even as weights are thrown onto its back.
France Dernières Nouvelles, France Actualités
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