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!

A few weeks ago, Deepmind caused a stir in the robotics industry. The reason: the paper Scaling up learning across many different robot types. We spoke to Prof. Dr. Abhinav Valada from the University of Freiburg about the foundation models of robotics.

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!