arXiv (All)
open access
ForkCast: Predictive Recovery for Vision-Language-Action Policies via Counterfactual Futures
Vision-language-action (VLA) policies perform manipulation tasks using camera images and language instructions, but object slip or visual occlusion can disrupt execution. Recovery is typically learned during policy training or delegated to a monitor that triggers a scripted repair after detecting a
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
- Visible Touch: Rendering Contact for Visuomotor Policies#1083622
- ForceRFT: Refining VLA Actions through Force-Guided Residual Reinforcement Learning#1037523
- When to Switch: Reliable Action-Chunk Extension for Vision-Language-Action Models#1201732
- Smart Navigation for Visual Prostheses in Virtual Reality: An End-to-End Framework for Priority-Based Scene Translation and Path Guidance#1201785
- MobiGuide: Vocabulary-Guided Online Recovery for Mobile Manipulation#1344541
Record · ID 1344150
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