arXiv (All)
open access
VGM-VS: Rethinking Visual Geometry Model for High-Precision Visual Servoing
We present VGM-VS, a visual servoing method built on a pretrained feed-forward visual geometry model. Given the current view and a reference image captured at the target configuration, we estimate the relative camera pose with a visual geometry model and apply it iteratively as the pose increment of
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
- V2-STRep: VLM-Grounded Structured Task Representations for Reusable Robot Skills Acquired from Generated Videos#1034394
- Robotic Servo Tracking of Moving Targets with Dynamic Imitation Constraints#1084532
- Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment#138984
- Exploring Vision-Based Interfaces: How to Use Your Head in Dual Pointing Tasks#239465
- Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment#1128623
Record · ID 1064856
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