Google outlines new methods for training robots with video and large language models

Google outlines new methods for training robots with video and large language models

5 months ago
Anonymous $oNW8tt9dEO

https://techcrunch.com/2024/01/04/google-outlines-new-methods-for-training-robots-with-video-and-large-language-models/

2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ranging from learning to product design. Google’s DeepMind Robotics researchers are one of a number of teams exploring the space’s potential. In a blog post today, the team is highlighting ongoing research designed to give robotics a better understanding of precisely what it is we humans want out of them.

Traditionally, robots have focused on doing a singular task repeatedly for the course of their life. Single-purpose robots tend to be very good at that one thing, but even they run into difficulty when changes or errors are unintentionally introduced to the proceedings.

Google outlines new methods for training robots with video and large language models

Thu Jan 4, 8:44pm UTC
https://techcrunch.com/2024/01/04/google-outlines-new-methods-for-training-robots-with-video-and-large-language-models/ > 2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ranging from learning to product design. Google’s DeepMind Robotics researchers are one of a number of teams exploring the space’s potential. In a blog post today, the team is highlighting ongoing research designed to give robotics a better understanding of precisely what it is we humans want out of them. > Traditionally, robots have focused on doing a singular task repeatedly for the course of their life. Single-purpose robots tend to be very good at that one thing, but even they run into difficulty when changes or errors are unintentionally introduced to the proceedings.