RESEARCH PAPERYear 2023

DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation

Ruicheng Wang; Jialiang Zhang; Jiayi Chen; Yinzhen Xu; Puhao Li; Tengyu Liu; He Wang

Read paper PDF DOI Project page

Classification

View four quadrants

Major category: Datasets
Quadrant: Not applicable
Architecture: Not applicable
Prediction paradigm: Not applicable
Subcategories: Dexterous hand & grasping data Synthetic data & data generation 3D object resources
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{wang2023dexgraspnet,
  author       = {Ruicheng Wang and
                  Jialiang Zhang and
                  Jiayi Chen and
                  Yinzhen Xu and
                  Puhao Li and
                  Tengyu Liu and
                  He Wang},
  title        = {DexGraspNet: {A} Large-Scale Robotic Dexterous Grasp Dataset for General
                  Objects Based on Simulation},
  booktitle    = {ICRA},
  pages        = {11359--11366},
  year         = {2023},

}

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