A prototype of the MIT Mini Cheetah, a robotic dog from the American university MIT, has taught itself the most efficient way to walk and broke its own speed record. All this without human intervention. The robot dog’s speed record now stands at 14 kilometers per hour.
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The MIT Mini Cheetah used a reinforcement learning-system. The robot dog can also learn to deal with unexpected situations, such as walking on loose pebbles or on slippery ice. The Mini Cheetah can also use simulations to learn. For example, a robot dog gains 100 days of experience in just three hours, says the development team.
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It is especially special that the robot has learned things without human intervention, which was not possible until recently. Researchers always had to pre-program the machines so that they could perform various tricks. This obviously created a lot of work when new tricks and movements had to be learned.
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“A practical way to build a robot with many different skills is to tell it what to do and let it figure out how. Our system is an example of that,” say Gabriel Margolis and Ge Yang, two of the developers. The concept is now also being applied to other robot systems.
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