RESEARCH PAPERYear 2026

EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video

Ryan Hoque; Peide Huang; David J. Yoon; Mouli sivapurapu; Jian Zhang

Read paper PDF

Classification

View four quadrants

Major category: Datasets
Quadrant: Not applicable
Architecture: Not applicable
Prediction paradigm: Not applicable
Subcategories: Human egocentric data Dexterous hand & grasping data 3D hand trajectory annotations
Source review status: Verified from primary sources

AT A GLANCE

Contribution

A contribution summary has not been added yet.

Abstract

An abstract has not been added yet.

Affiliations

Not listed in the collection.

BibTeX

@inproceedings{
egodex,
title={EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video},
author={Ryan Hoque and Peide Huang and David J. Yoon and Mouli sivapurapu and Jian Zhang},
booktitle={ICLR},
year={2026},
}

Classification

Contribution

Abstract

Affiliations

BibTeX

More in this category

Building Pretraining Data for World Models: An Unreal Engine-Based Pipeline for Action-Conditioned Video Generation

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone

How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning