arXiv (All)
open access
Action with Visual Primitives
Vision-Language-Action (VLA) models have emerged as a promising paradigm for generalist robotic manipulation. A common design in current architectures maps language instructions and visual observations to actions in a single forward pass. While conceptually simple, this formulation entangles instruc
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
- InSight: Self-Guided Skill Acquisition via Steerable VLAs#1050899
- Observing and Controlling Features in Vision-Language-Action Models#1050828
- StarVLA-$α$: Reducing Complexity in Vision-Language-Action Systems#1013549
- Direct Action-Head Injection of A Grounded 3D Point Unlocks Spatial and Task Generalization#1156404
- Mind-VLA: Instruction-Aware Spatial Representation Alignment for Vision-Language-Action Models#684571
Record · ID 1048660
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