Imagine controlling a robot with just your voice and a picture. Sounds like science fiction, right? Well, not anymore. Google’s RT-2 is a new model that makes robot control a matter of AI chat. RT-2 can translate vision and language into action, allowing you to command a robot by using natural language and visual feedback. For example, you can make a robot pick up a red ball by saying “pick up the red ball” and showing it a picture of the ball. This is a remarkable achievement in artificial intelligence and robotics. In this video, we will show you how RT-2 works and what are its applications and limitations. You will be amazed by the power of vision and language in robot control. Watch this video to learn more about Google’s RT-2 project. 🤖

https://www.deepmind.com/blog/rt-2-new-model-translates-vision-and-language-into-action
https://ai.googleblog.com/2022/12/rt-1-robotics-transformer-for-real.html
https://blog.google/technology/ai/google-deepmind-rt2-robotics-vla-model/
https://robotics-transformer2.github.io/

#ai #artificialintelligence #google #deepmind #robot

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