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.

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 >>

About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter