DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation
We present \textbf{DreamX-Phi 1.0}, an action-conditioned video world model for robotic manipulation that, given an observed frame, a language instruction, and a prescribed action sequence comprising end-effector poses and gripper states, predicts the resulting future observations. Yet realism alone does not guarantee faithfulness: a convincing rollout can still move the wrong arm or lose the manipulated object. To ensure the prediction respects each arm's commanded path, we inject per-arm $\mathrm{SE}(3)$ transformations into attention via \textbf{PRoPE-style geometric encoding}, preserving a
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- FuzzySimilar title/name (fuzzy) · 84%liguodongiot/llm-action →
“Fuzzy title match (0.92): “DreamX-Phi 1.0: Action-Conditioned Video World Model for Rob” ≈ “liguodongiot/llm-action””
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- LinkedLinked via arxiv author · 85%DreamX Team →
“DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation”
- LinkedLinked via arxiv author · 85%Kerui Chen →
“DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation”
- LinkedLinked via arxiv author · 85%Xiangxiang Chu →
“DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation”