MIT's Mini Cheetah has managed to set a new record for the fastest run speed ever recorded in the robot thanks to a new learning method.
10 deals you can’t miss on Saturday: $150 AirPods 3, weight loss pills, Kasa smart plugs, moreAs you can see in the video above, the Mini Cheetah isn’t the most graceful machine when it comes to running. But everything it does, it learned to do itself thanks to simulations. The group says it chose machine learning to see how viable it was as an option. Normally, engineers would need to program everything that the robot was going to do.
This takes time, a lot of time, in fact, and is very difficult to do. Not only does the engineer have to code everything, but it has to determine where the robot might fail and how to adapt it to fit those sections. With machine learning, though, robots like the Mini Cheetah can learn to run without needing a helping hand.
The trick to getting the Mini Cheetah running was to let it accumulate days of experience on diverse terrains. The MIT scientists say they were able to send the Mini Cheetah through 100 days’ worth of experience in just three hours. This allowed them to scale up the terrain that it was experiencing quite a lot and let them test things more easily.MIT
The Mini Cheetah’s movements might not look graceful, but the results speak for themselves. By letting the machine learn how to run on its own, the scientists gave it more room to succeed. During testing, it was able to run faster than they’ve ever made it run before. The Mini Cheetah reached up to 13 feet per second or 9 miles per hour. It’s an impressive stat for sure.
It was also able to turn quickly, even on icy surfaces. Further, it did all of this without falling on its face. 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. Any patterns that didn’t promote speediness were thrown out (via
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