The ImageNet moment of Robotics episode artwork

EPISODE · Nov 22, 2023 · 53 MIN

The ImageNet moment of Robotics

from Industrial AI Podcast · host Robert Weber / Peter Seeberg

Together with partners from 33 academic labs, Deepmind has pooled data from 22 different robot types to create the Open X-Embodiment dataset and RT-X model. Prof. Dr. Abhinav Valada explains the results and what they mean for robotics in the future. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner Siemens **OUR EVENT IN JANUARY ** https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/ Contact Prof. Dr. Abhinav Valada https://rl.uni-freiburg.de/people/valada The Deepmind Paper https://deepmind.google/discover/blog/scaling-up-learning-across-many-different-robot-types/ We thank our team: Barbara, Anne and Michael!

Episode metadata supplied by the publisher feed · Published Nov 22, 2023

Embed this episode

Ready to play

The ImageNet moment of Robotics

0:00 53:14

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

Frequently Asked Questions

How long is this episode of Industrial AI Podcast?

This episode is 53 minutes long.

When was this Industrial AI Podcast episode published?

This episode was published on November 22, 2023.

Can I download this Industrial AI Podcast episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!