Researchers at arXiv have introduced Primitive Embodied World Models (PEWM), a new approach to video generation that addresses the limitations of existing models by focusing on shorter time horizons and improving data efficiency. This innovation allows for better alignment between language commands and robotic actions, reducing complexity in learning and inference processes while enabling flexible control over complex tasks.
Read the full article at arXiv cs.AI (Artificial Intelligence)
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Ali NematiWritten by Ali
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