Deep Learning Helps Robot Learn to Walk the Way Humans Do

University of California, Berkeley researchers are using deep learning and NVIDIA GPUs to create a new generation of robots that adapt to changing environments and new situations without a human reprogramming them.

Their robot “Darwin” learned how to keep his balance on an uneven surface – and GPUs were essential for learning of this complexity.

“If we did the training on CPU, it would have required a week. With a GPU, it ended up taking three hours,” said Igor Mordatch, who is now using GPUs hosted in the Amazon Web Services cloud.

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Without being taught, the deep learning robot rises from the floor to a standing position.

This type of humanoid robots could one day tackle dangerous tasks like handling rescue efforts or cleaning up disaster areas.

Read more on the NVIDIA blog >>