arXiv (All)
open access
Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models
World Action Models (WAMs) aim to construct a unified architecture capable of understanding world state evolution and guiding to generative motion planning. However, existing visual branches focus on predicting static visual observation, rather than reflecting potential transition information that c
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Learning to Use Imagination: Progress-Conditioned Future Utilization for World Action Models#974689
- MoWAM: Explicit Future Motion Prediction for Efficient World Action Models#1034507
- Latent evolving World Action Model#1063666
- PACT-WAM: Predicting Actions and Visual Foresight with Compact Temporal Encoding for Robot Manipulation#1012130
- Efficient World Action Model Inference with Adaptive Intermediate States#1128870
Record · ID 1105132
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive