![Industrial AI Podcast artwork](https://is2-ssl.mzstatic.com/image/thumb/Podcasts113/v4/f1/1a/bd/f11abd22-b466-3bd6-3fce-ccf3ae0c71f3/mza_4072551694802516327.png/100x100bb.jpg)
The ImageNet moment of Robotics
Industrial AI Podcast
English - November 22, 2023 23:01 - 53 minutes - 43.3 MBTechnology machine learning maschinenbau industrie künstliche intelligenz industrial ai artificial intelligence data ai podcast siemens Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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!