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.
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 >>
AI-Generated Summary
- Researchers at the University of California, Berkeley are developing robots that can adapt to new situations without being reprogrammed by humans using deep learning and NVIDIA GPUs.
- The robot Darwin learned to balance on an uneven surface, a task that was accomplished in three hours with a GPU, significantly faster than the estimated week it would have taken with a CPU.
- These humanoid robots, like Darwin, have the potential to perform dangerous tasks such as rescue efforts or cleaning up disaster areas in the future.
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