adithyamurali's picture
Add data card
b9dedf6
|
raw
history blame
2.56 kB

GraspGen: Scaling Simulated Grasping

GraspGen is a large-scale simulated grasp dataset for multiple robot embodiments and grippers

We release over 57 million grasps, computed for a subset of 8515 objects from the Objaverse XL (LVIS) dataset. We release grasps for three grippers: Franka Panda, the Robotiq-2f-140 industrial gripper, and suction.

Dataset Format

The dataset is released in the WebDataset format. The folder structure of the dataset is as follows:

grasp_data/
    franka/shard_{0-7}.tar
    robotiq2f140/shard_{0-7}.tar
    suction/shard_{0-7}.tar
splits/
    franka/{train/valid}_scenes.json
    robotiq2f140/{train/valid}_scenes.json
    suction/{train/valid}_scenes.json

We release test-train splits along with the grasp dataset.

Each json file in the shard has the following data in a python dictionary. Note that num_grasps=2000 per object.

‘object’/
    ‘scale’ # This is the scale of the asset
‘grasps’/
    ‘object_in_gripper’ # boolean mask indicating grasp success, [num_grasps X 1]
    ‘transforms’ # Pose of the gripper in homogenous matrices, [num_grasps X 4 X 4]

Visualizing the dataset

We have provided some standalone scripts for visualizing this dataset. See the header of the visualize_dataset.py for installation instructions

Before running any of the visualization scripts, remember to start meshcat-server in a separate terminal:

meshcat-server

To visualize a single object from the dataset, alongside its grasps:

cd scripts/ && python visualize_dataset.py --dataset_path /path/to/dataset --object_uuid {object_uuid} --object_file /path/to/mesh --gripper_name {choose from: franka, suction, robotiq2f140}

Objaverse dataset

Please download the Objaverse XL (LVIS) objects separately. See the helper script download_objaverse.py for instructions and usage.

License

License Copyright © 2025, NVIDIA Corporation & affiliates. All rights reserved.

The dataset is released under a CC-BY 4.0 License.

The visualization code is released under the NVIDIA source code license.

Contact

Please reach out to Adithya Murali ([email protected]) and Clemens Eppner ([email protected]) for further enquiries