The ImageNet moment of Robotics

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!

Om Podcasten

The Industrial AI Podcast reports weekly on the latest developments in AI and machine learning for the engineering, robotics, automotive, process and automation industries. The podcast features industrial users, scientists, vendors and startups in the field of Industrial AI and machine learning. The podcast is hosted by Peter Seeberg, Industrial AI consultant and Robert Weber, tech journalist. Their mission: Demystify Industrial AI and machine learning, inspire industrial users. The Industrial AI Podcast is a proud partner of the Women in AI & Robotics initiative. The hosts: Peter Seeberg is an Industrial AI and machine learning expert for the manufacturing industry. He worked over 25 years in IT (Intel) and 10 years in Automation. He co-initiated the Industrial Data Intelligence Startup (Softing) where he was responsible for managing machine learning projects in industrial environments. Today he advises companies when it comes to Industrial AI and machine learning. Together with Robert Weber, journalist for industrial topics, he discusses AI and ML applications, standards, and education topics, make or buy decisions as well as regulation for AI in manufacturing.