DeepMind Researchers have developed a groundbreaking model called Robotic Transformer 2 (RT-2) that combines web data with robotics data to enable robots to understand and follow instructions. While high-capacity vision-language models are adept at recognizing patterns in visual and language data, robots require firsthand experience to handle various tasks and situations. RT-2 addresses this challenge by learning from both web-scale datasets and real-world robot interactions.
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