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--- |
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license: mit |
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--- |
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# Assets for DiPGrasp: Parallel Local Searching for Efficient Differentiable Grasp Planning |
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[**Paper**](https://arxiv.org/abs/2408.04738)|[**Project Page**](dipgrasp.robotflow.ai) |
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This repository contains the essential assets and object mesh files of the paper: DiPGrasp: Parallel Local Searching for Efficient Differentiable Grasp Planning |
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## Download |
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To download the assets, use the following shell snippet: |
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``` |
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git lfs install |
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git clone https://huggingface.co/datasets/robotflow/dipgrasp |
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``` |
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## Assets Structure |
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By downloading the assets into the repository of DipGrasp under the folder './assets', and it should be look like: |
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``` |
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dipgrasp |
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├── assets |
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│ ├── gripper |
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│ │ │── descrption |
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│ │ │ │── barrett_hand |
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│ │ │ │── schunk_svh_description |
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│ │ │ │── sr_grasp_description |
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│ │ │── barrett.urdf |
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│ │ │── barrett.xml |
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│ │ │── ... |
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├── object |
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│ │── class |
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│ │ │── bowl |
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│ │ │ │── bowl0 |
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│ │ │ │── bowl1 |
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│ │ │ │── ... |
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│ │ │ │── bowl9 |
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│ │ │── box |
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│ │ │── drink |
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│ │ │── sauce |
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│ │ │── tableware |
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│ │── single |
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│ │ │── apple.ply |
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│ │ │── bowl.ply |
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│ │ │── ... |
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├── rfu |
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│ │── linux |
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│ │ │── GraspTest_Data |
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│ │ │── GraspTest.x86_64 |
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│ │ │── UnityPlayer.so |
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│ │── windows |
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├── xml_generator |
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│ │── xml_from_URDF_Linux.tar.gz |
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│ │── xml_from_URDF_Windows.zip |
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``` |
