Datasetpublicgated

thomasmundo/Sample-Robotics-Dataset

Mundo AI — Egocentric Kinematic Dexterity with Dense ECoT Language Annotations Real frame from the release: two-hand tracking during a grip-slip failure. The reflection trace shows the operator's recovery reasoning. Overlays are 2D projections through the fisheye model; underlying 3D kinematics are precise. Watch the full walkthrough → 1. Overview This release contains office-scale samples of high-fidelity, egocentric human interaction data.… See the full description on the dataset page: https://huggingface.co/datasets/thomasmundo/Sample-Robotics-Dataset.

sourceHugging Facecc-by-nc-4.0updated 5mo agoView on Hugging Face

0likes9downloads

settings

This repository belongs to thomasmundo on Hugging Face.

CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.

nameSample-Robotics-Dataset

visibilitypublic

licencecc-by-nc-4.0

gatedyes

ownerthomasmundo

Account settings