ahundt / costar_dataset

Installable python package for the costar dataset.

Home Page:https://sites.google.com/site/costardataset

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costar_dataset

Loader for the JHU CoSTAR Block Stacking Dataset, supports pytorch and tensorflow.

Contact: Andrew Hundt ATHundt@gmail.com

Getting Started:

  1. Introduction
  2. Instructions
  3. Download

The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints

Please cite our paper if you use this dataset:

@article{hundt2019costar,
    title={The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints},
    author={Andrew Hundt and Varun Jain and Chia-Hung Lin and Chris Paxton and Gregory D. Hager},
    journal = {Intelligent Robots and Systems (IROS), 2019 IEEE International Conference on},
    year = 2019,
    url = {https://arxiv.org/abs/1810.11714}
}

About

Installable python package for the costar dataset.

https://sites.google.com/site/costardataset

License:Apache License 2.0


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Language:Python 100.0%