arXiv (All)
open access
MedVLA: A Hierarchical Vision-Language-Action Framework for Closed-Loop Precision Medical Robot Manipulation
Precision medical robotics demands adaptive decision-making under strict safety, interpretability, and execution constraints. Although recent Vision-Language-Action (VLA) models show strong multimodal reasoning ability, their continuous action generation paradigm is not well suited for precision med
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
- Towards High-DoF Dexterous Manipulation through VLA Post-Training#1014254
- Steerable and Reactive Grasping Through Modular Design with a Three-Point Interface#1051293
- SurgVIL: Scaling Surgical Robot Imitation Learning with Open-source Surgical Videos#620478
- SurgVIL: Scaling Surgical Robot Imitation Learning with Open-source Surgical Videos#618799
Record · ID 1061389
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