joehjhuang2024MIT

TactileTracking: A tactile-based object tracking dataset

A benchmark dataset for tactile-based object tracking featuring 12 distinct objects and 84 tracking trials with tactile video, 6DoF ground truth sensor poses, and pre-processed surface geometry.

Downloads164
Episodes84
Likes1

Why This Matters for Physical AI

This dataset enables development and benchmarking of tactile-based perception methods for accurate object tracking and pose estimation, which are critical for robotic manipulation and contact-rich tasks.

Technical Profile

Modalities
tactilergb
Robot Embodiments
GelSight Mini sensor
Environment
lab
Task Types
object_trackingpose_estimation
Episodes
84
Annotation Types
6DoF_posescontact_masksgradient_mapssurface_geometry
License
MIT
Part of the TactileTracking family

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