arXiv (All)
open access
Where Memory Belongs: Ledger, an Object Ledger for Memory-Augmented VLAs
Memory is essential for long-horizon, partially observed robotic manipulation: a robot must remember which object was placed in a drawer, whose cup it moved, or how many action cycles have elapsed. Recent vision-language-action (VLA) models embed memory directly inside the policy, but benchmarks sho
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
- D$^2$-VLA: Dual-Memory Dual-Frequency Vision-Language-Action Model For Long Dynamic Manipulation#1129410
- Inline Memory Meets Reusable Skills: Memory-centric Framework for Vision-Language-Action Model#1144961
- Divide-and-Remember: Recursive Action-Relevant Memory for Long-Horizon VLA Policies#1155917
- Towards High-DoF Dexterous Manipulation through VLA Post-Training#1014254
- TFP: Temporally Conditioned Memory-Fusion Policies for Visuomotor Learning#793774
Record · ID 1128819
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