CLARU
hgupt3MIT

Sensor-Invariant Tactile Representation (SITR) Dataset

A large-scale tactile perception dataset comprising 1M simulated samples across 100 sensor configurations and real-world classification/pose estimation data from 7 tactile sensors. The dataset enables training sensor-invariant tactile representations for zero-shot inference and fine-tuning on various tactile perception tasks.

Downloads203
Likes1

Technical Profile

Modalities
rgbtactiledepth
Environment
simulationlab
Task Types
tactile_classificationpose_estimationfeature_extraction
Data Format
PNG images, NPY arrays (depth maps, surface normals, pose data)
License
MIT
Part of the Sensor-Invariant Tactile Representation (SITR) Dataset family

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