Robot cheetah learns to run by itself

Scientists at MIT managed to teach a robot to run using machine learning. Normally robots are taught how to move across difficult terrain by preprogramming it into their code. This time, though, the scientists at MIT used simulations to teach the Mini Cheetah to run fast and adapt to walking on different terrain.
The technique is called reinforcement learning, and the team used over 4,000 versions of the Mini Cheetah to determine the best movement patterns in their virtual sessions.
The robot doesn’t have a camera, so it can’t see its surroundings in order to adjust its gait. Instead, it calculates its balance and keeps track of how its footsteps are propelling it forward.
The Mini Cheetah’s movements might not look graceful, but the results speak for themselves.
The Mini Cheetah reached up to 13 feet per second or 9 miles per hour.
With machine learning, though, robots like the Mini Cheetah can learn to run without needing a helping hand.
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