Welcome to the SHaSTA! An open-source simulation platform to study human-swarm applications. The platform provides a unified interface for humans and learning algorithms to command/learn swarm robot behaviors. SHaSTA also provides a unique ability to collect physiological information from humans and time synchronize it with swarm simulation.
- Realistic swarm simulation powered by the pybullet.
- Human-Swarm Interaction interface.
- Physiological signal (EEG, EMG, Eye movement, etc.) collection facility built on lab streaming layer.
- OpenAI Gym interface for reinforcement learning experiments.
- Highly customizable simulation environment.
- Easy-to-use and well-documented codebase.
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Clone this repository to your local machine using:
git clone https://github.com/ub-nsf-hsi/shasta-ub.git -
Install the required dependencies:
pip install -r requirements.txt -
Install using python
python setup.py install -
Configure your SHaSTA installation and simulator settings as needed.
We welcome contributions from the community to improve and expand this simulator project. If you're interested in contributing, please follow our Contribution Guidelines.
Please review and adhere to our Code of Conduct when participating in our community. We strive to maintain a respectful and inclusive environment for everyone.
This project is licensed under the MIT License, which means you are free to use, modify, and distribute the code in your projects.
We hope you enjoy using the SHaSTA. Happy flying!