arXiv (All)
open access
CoRe-WAM: Correspondence-Aligned Temporal Residuals for World Action Models
Comparing current and past observations helps robots understand scene changes and select subsequent actions during manipulation. However, comparing visual features at the same image location can mix different scene content when objects or the camera move. We introduce CoRe-WAM, a world-action model
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
- DeltaWAM: Change-Centric Visual Foresight via Delta Tokens for an Efficient World-Action Model#1117889
- TriWorldBench: A Tri-View Consistency Perspective on Embodied World Models#1062211
- TriWorldBench: A Tri-View Consistency Perspective on Embodied World Models#1043149
- UMI-Bridge: Action-Anchored Latent Alignment across Human and Robot Manipulation Data#1012432
- DUET-DINO: Simultaneous Cross-View World Modeling for Latent Planning in Robot Manipulation#997378
Record · ID 1063525
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