
The ImageNet moment of Robotics
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.
53 Minuten
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vor 1 Jahr
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!
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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