arXiv (OAI Expanded)
open access
UniDex-ViTac: Learning Unified Visuo-Tactile Dexterous Manipulation Policy from Human Video Data
Human videos provide demonstrations of dexterous manipulation but lack robot-executable actions and tactile measurements. We present UniDex-ViTac, a framework that uses human-video-guided simulation to generate robot demonstrations paired with fingertip contact observations for training a deployable
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
- Bench2Dex: Benchmarking Visuo-Tactile Bimanual Dexterous Manipulation Across Dexterous Hands#1109697
- ViTacWorld: Scaling Visuo-Tactile World Models for Contact-Rich Robot Manipulation#1118664
- One Demonstration, Many Objects: Generalizing Manipulation via Local Contact Geometry#926242
- Unified Visual-Tactile-Action Modeling from Human Demonstrations for Dexterous Manipulation#1119255
- C2Dex: Contact-Consistent Reconstruction and Retargeting for Dexterous Manipulation from Monocular Video#974521
Record · ID 1122539
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