How the AI that drives ChatGPT will move into the physical world

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A startup founded by three former OpenAI researchers is using the technology development methods behind chatbots to build AI technology that can navigate the physical world.

Pieter Abbeel, president, chief scientist and co-founder of Covariant, at the company’s headquarters in Emeryville, Calif., on March 8, 2024. Covariant, a robotics start-up, is designing technology that lets robots learn skills like chatbots.

The technology also gives robots a broad understanding of the English language, letting people chat with them as if they were chatting with ChatGPT. The AI systems that drive chatbots and image generators are called neural networks, named for the web of neurons in the brain. Covariant, founded by Pieter Abbeel, a professor at the University of California, Berkeley, and three of his former students, Peter Chen, Rocky Duan and Tianhao Zhang, used similar techniques in building a system that drives warehouse robots.

After identifying patterns in this stew of images, sensory data and text, the technology gives a robot the power to handle unexpected situations in the physical world. The robot knows how to pick up a banana, even if it has never seen a banana before. The technology, called RFM, for robotics foundational model, makes mistakes, much like chatbots do. Though it often understands what people ask of it, there is always a chance that it will not. It drops objects from time to time.

Source: Tech Daily Report (techdailyreport.net)

 

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