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Discover cutting-edge robotic control with DeepMind's RT2, integrating visual perception, language understanding, and action planning. Explore the evolution of robotics through deep learning and machine learning. Uncover the future prospects of robotics and AI advancements, including open-source hardware integration and the development of a generalized robot brain.
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Quick takeaways
- RT2 integrates visual perception, language understanding, and action planning to enhance robotic flexibility.
- Semantic planning and common sense reasoning enable robots to understand tasks and refine actions.
Deep dives
RT2: A Multimodal Transformer Model Combining Visual Perception and Natural Language Understanding
RT2, a robotics transformer system, integrates visual perception, natural language understanding, and robotic action planning into a single multimodal transformer model. By treating robot actions as a form of language, the model leverages common sense reasoning derived from large language models. This approach enables the model to transfer capabilities between perception and actuation, allowing robots to understand new objects and concepts.
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