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Google DeepMind Researchers Introduce RT-2: A Novel Vision-Language-Action (VLA) Model that Learns from both ... - MarkTechPost

Large language models can enable fluent text generation, emergent problem-solving, and creative generation of prose and code. In contrast, vision-language models enable open-vocabulary visual recognition and can even make complex inferences about object-agent interactions in images. The best way for robots to learn new skills needs to be clarified. Compared to the billions of tokens and photos used to train the most advanced language and vision-language models on the web, the amount of data collected from robots is unlikely to be comparable. However, it is also challenging to immediately adapt such models to robotic activities since these models reason about semantics, labels, and textual prompts.

marktechpost.com     Aug 04, 2023