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✨Robot Learning from a Physical World Model
📝 Summary:
PhysWorld enables robots to learn accurate manipulation from AI-generated videos by integrating video generation with physical world modeling. This approach grounds visual guidance into physically executable actions, eliminating the need for real robot data.
🔹 Publication Date: Published on Nov 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.07416
• PDF: https://arxiv.org/pdf/2511.07416
• Project Page: https://pointscoder.github.io/PhysWorld_Web/
• Github: https://github.com/PointsCoder/OpenReal2Sim
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#RobotLearning #Robotics #AI #PhysicalModeling #MachineLearning
📝 Summary:
PhysWorld enables robots to learn accurate manipulation from AI-generated videos by integrating video generation with physical world modeling. This approach grounds visual guidance into physically executable actions, eliminating the need for real robot data.
🔹 Publication Date: Published on Nov 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.07416
• PDF: https://arxiv.org/pdf/2511.07416
• Project Page: https://pointscoder.github.io/PhysWorld_Web/
• Github: https://github.com/PointsCoder/OpenReal2Sim
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#RobotLearning #Robotics #AI #PhysicalModeling #MachineLearning