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---
license: mit
---

# Assets for DiPGrasp: Parallel Local Searching for Efficient Differentiable Grasp Planning

[**Paper**](https://arxiv.org/abs/2408.04738)|[**Project Page**](dipgrasp.robotflow.ai)

This repository contains the essential assets and object mesh files of the paper: DiPGrasp: Parallel Local Searching for Efficient Differentiable Grasp Planning

## Download
To download the assets, use the following shell snippet:
```
git lfs install
git clone https://huggingface.co/datasets/robotflow/dipgrasp
```

## Assets Structure
By downloading the assets into the repository of DipGrasp under the folder './assets', and it should be look like:
```
dipgrasp
β”œβ”€β”€ assets
β”‚   β”œβ”€β”€ gripper
    β”‚   β”‚   │── descrption
    β”‚   β”‚   β”‚   │── barrett_hand
    β”‚   β”‚   β”‚   │── schunk_svh_description
    β”‚   β”‚   β”‚   │── sr_grasp_description
    β”‚   β”‚   │── barrett.urdf
    β”‚   β”‚   │── barrett.xml
    β”‚   β”‚   │── ...
    β”œβ”€β”€ object
    β”‚   │── class
    β”‚   β”‚   │── bowl
    β”‚   β”‚   β”‚   │── bowl0
    β”‚   β”‚   β”‚   │── bowl1
    β”‚   β”‚   β”‚   │── ...
    β”‚   β”‚   β”‚   │── bowl9
    β”‚   β”‚   │── box
    β”‚   β”‚   │── drink
    β”‚   β”‚   │── sauce
    β”‚   β”‚   │── tableware
    β”‚   │── single
    β”‚   β”‚   │── apple.ply
    β”‚   β”‚   │── bowl.ply
    β”‚   β”‚   │── ...
    β”œβ”€β”€ rfu
    β”‚   │── linux
    β”‚   β”‚   │── GraspTest_Data
    β”‚   β”‚   │── GraspTest.x86_64
    β”‚   β”‚   │── UnityPlayer.so
    β”‚   │── windows
    β”œβ”€β”€ xml_generator
    β”‚   │── xml_from_URDF_Linux.tar.gz
    β”‚   │── xml_from_URDF_Windows.zip    

```