The ImageNet moment of Robotics - Industrial AI Podcast |...

What this episode covers

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!

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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.

What is this episode about?

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...

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