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 >>
Related resources
- GTC session: Unlocking AI to Build the Metaverse (Spring 2023)
- GTC session: Generate Synthetic Data Using Omniverse Replicator for Perception Models (Spring 2023)
- GTC session: Enterprises Share Their Experience with DGX Cloud (Spring 2023)
- NGC Containers: MATLAB
- Webinar: NVIDIA Inception: Maximize Your Benefits
- Webinar: Isaac Developer Meetup #2 - Build AI-Powered Robots with NVIDIA Isaac Replicator and NVIDIA TAO