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
Podcast
Podcaster
Beschreibung
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!
Weitere Episoden
35 Minuten
vor 3 Monaten
60 Minuten
vor 3 Monaten
47 Minuten
vor 4 Monaten
43 Minuten
vor 4 Monaten
30 Minuten
vor 4 Monaten
In Podcasts werben
Kommentare (0)