BulletArm
Documentation | Paper | License
BulletArm is a benchmark and learning-environment for robotic manipulation. BulletArm provides a set of standardized benchmark tasks in simulation alongside a collection of baseline algorithms.
Table of Contents
Announcements
June 24, 2022
- Version 1.0.0 is live!
Install
- Clone this repo
git clone https://github.com/ColinKohler/BulletArm.git cd BulletArm - Install dependencies
pip install -r requirements.txt - Install this package
Or add to your PYTHONPATH
pip install .export PYTHONPATH=/path/to/BulletArm/:$PYTHONPATH - Run the block stacking demo
python tutorials/block_stacking_demo.py
Getting Started
To get started with BulletArm please see the Getting Started section of the documentation.
Contributions
We hope that other researchers will help us extend this package by adding new tasks, robots, etc. Please see the Contributions section of the documentation for additional details.
Cite
The development of this package was part of the work done for our paper: BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework. Please cite this work if you use our code:
@misc{https://doi.org/10.48550/arxiv.2205.14292,
doi = {10.48550/ARXIV.2205.14292},
url = {https://arxiv.org/abs/2205.14292},
author = {Wang, Dian and Kohler, Colin and Zhu, Xupeng and Jia, Mingxi and Platt, Robert},
keywords = {Robotics (cs.RO), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework},
publisher = {arXiv},
year = {2022},
copyright = {arXiv.org perpetual, non-exclusive license}
}
Feel free to contact us.
License
BulletArm is distributed under GNU General Public License. See License.