Google PaLM-E

Embodied multimodal language model for robotic control and perception:

• Integrates vision and language inputs to enable robots to understand and execute complex natural language commands

• Demonstrates improved generalization across different robotic tasks without the need for retraining

• Processes multimodal inputs, including images and sensor data, to generate context-aware actions

• Showcases the power of combining large language models with visual perception for advanced robotics applications

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