PFN-VT (PFN Visuo-Tactile Dataset)
Introduced by Takahashi et al. in Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images
PFN-VT is a dataset for the estimation of tactile properties from vision, such as slipperiness or roughness. The dataset is collected with a webcam and uSkin tactile sensor mounted on the end-effector of a Sawyer robot, which strokes the surfaces of 25 different materials.
Papers
| Paper | Code | Results | Date | Stars |
|---|
