arXiv CS
open access
TouchSight: Bare-Handed Tactile Prediction from Egocentric Video via Generative Visual Augmentation
Tactile signals provide direct contact and force measurements that are essential for understanding physical interactions and enabling dexterous robotic manipulation. However, tactile sensing requires direct measurement at contact interfaces, making large-scale data collection reliant on intrusive, c
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
- HapticWAM: Distilling Imagined Touch into a World-Action Model without Inference-Time Tactile Sensing#1050079
- ReTouch: Empowering Contact-Rich Dexterous Manipulation with Online-Refined Tactile Prediction#630096
- ReTouch: Empowering Contact-Rich Dexterous Manipulation with Online-Refined Tactile Prediction#628234
- TouchSight: Bare-Handed Tactile Prediction from Egocentric Video via Generative Visual Augmentation#1034233
- ViTacWorld: Scaling Visuo-Tactile World Models for Contact-Rich Robot Manipulation#1118664
Record · ID 978481
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