DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation
We present 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 SE(3) transfor
Record details
Published: 12 August 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Agents & autonomy
Retrieved: 14 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Intern-S2-Preview: Scientific Agentic Foundation Model
HuggingFace Daily Papers · 12 August 2026
PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives
HuggingFace Daily Papers · 12 August 2026
LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation
HuggingFace Daily Papers · 12 August 2026
AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design
HuggingFace Daily Papers · 12 August 2026
Spatial Memory Agent: Experience-Grounded Procedure Memory for Spatial Intelligence
HuggingFace Daily Papers · 12 August 2026
H2R-Bench: Benchmarking Human-to-Robot Manipulation Video Generation in World Models
HuggingFace Daily Papers · 12 August 2026
How to cite this record
ethics.ai (12 August 2026), “DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation,” evidence record 19139, https://ethics.ai/record/19139 (originally published by HuggingFace Daily Papers).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.