Massachusetts Institute of Technology (MIT) researchers have designed a new version of the Mini Cheetah robot that can achieve high running speeds more efficiently than its predecessors.
The robot learns in real time through an experiential model, and is capable of absorbing 100 days' worth of experience on diverse terrains in three hours by training its neural network in a simulator.
"The intuition behind why the robot's running skills work well in the real world is: of all the environments it sees in this simulator, some will teach the robot skills that are useful in the real world," said MIT's Gabriel Margolis and Ge Yang.
"When operating in the real world, our controller identifies and executes the relevant skills in real time."
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