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AI approach yields 'athletically intelligent' robotic dog

AI approach yields 'athletically intelligent' robotic dog
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New AI strategy enables robots to rapidly adapt to real world environments

July 9, 2021 by Sarah Yang
Delivery services may be able to overcome snow, rain, heat and the gloom of night, but a new class of legged robots is not far behind. Artificial intelligence algorithms developed by a team of researchers from UC Berkeley, Facebook and Carnegie Mellon University are equipping legged robots with an enhanced ability to adapt to and navigate unfamiliar terrain in real time.
Their test robot successfully traversed sand, mud, hiking trails, tall grass and dirt piles without falling. It also outperformed alternative systems in adapting to a weighted backpack thrown onto its top or to slippery, oily slopes. When walking down steps and scrambling over piles of cement and pebbles, it achieved 70% and 80% success rates, respectively, still an impressive feat given the lack of simulation calibrations or prior experience with the unstable environments. ....

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Facebook teaches walking AI robots to adapt on the fly to terrain such as dirt, sand and even swamps

Facebook teaches walking AI robots to adapt on the fly to terrain such as dirt, sand and even swamps
siliconangle.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from siliconangle.com Daily Mail and Mail on Sunday newspapers.

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