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{"id":1686,"date":"2022-03-17T14:38:04","date_gmt":"2022-03-17T14:38:04","guid":{"rendered":"https:\/\/scienceandnerds.com\/2022\/03\/17\/want-to-make-robots-run-faster-try-letting-ai-take-control\/"},"modified":"2022-03-17T14:38:06","modified_gmt":"2022-03-17T14:38:06","slug":"want-to-make-robots-run-faster-try-letting-ai-take-control","status":"publish","type":"post","link":"https:\/\/scienceandnerds.com\/2022\/03\/17\/want-to-make-robots-run-faster-try-letting-ai-take-control\/","title":{"rendered":"Want to make robots run faster? Try letting AI take control"},"content":{"rendered":"

Source: https:\/\/www.theverge.com\/2022\/3\/17\/22982620\/robot-run-speed-mit-mini-cheetah-ai-reinforcement-learning<\/a>
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Quadrupedal robots are becoming a familiar sight, but engineers are still working out the full capabilities of these machines. Now, a group of researchers from MIT says one way to improve their functionality might be to use AI to help teach the bots how to walk and run. <\/p>\n

Usually, when engineers are creating the software that controls the movement of legged robots, they write a set of rules about how the machine should respond to certain inputs. So, if a robot\u2019s sensors detect x<\/em> amount of force on leg y, <\/em>it will respond by powering up motor a<\/em> to exert torque b, <\/em>and so on. Coding these parameters is complicated and time-consuming, but it gives researchers precise and predictable control over the robots.<\/p>\n

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