Robotic foundation models

Channel:
Switzerland AI for Good
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20,600
Published on ● Video Link: https://www.youtube.com/watch?v=0YE9q8awQoc


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In this talk, we discuss how large neural network models, similar to those that have enabled AI assistants, coding tools, and chatbots, can enable general robotic skills. Recent progress in the research community has made it possible to train large neural network models for robotic control that enable tasks that were previously impossible, by transferring semantic knowledge from web-scale pretraining and combining it with physical understanding learned from robot data. We discuss the implications of these technologies on robotic capabilities in the future, provide an overview of recent scientific results, and discuss perspectives on future progress.

Speakers:
Sergey Levine
Associate Professor , UC Berkeley


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The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.



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Tags:
AI for Good
AI
Artificial Intelligence
Machine Learning
Deep Learning
AI for Good Global Summit
Robotics foundation models
AI and Robotics