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Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact

About The Project

Gaussian Belief Trees implementation for the paper: Gaussian Belief Trees for Chance Constrained Asymptotically Optimal Motion Planning: https://arxiv.org/abs/2202.12407

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Built With

This section should list any major frameworks/libraries used to bootstrap your project. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.

  • [Eigen]
  • [OMPL]

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Getting Started

To get a local copy up and running follow these simple example steps.

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

  • Eigen
  • OMPL

Installation

  1. Clone the repo
    git clone https://github.com/your_username_/Project-Name.git

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Usage

cmake . make ./main

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Roadmap

  • [] Open source
  • Add flexibility with different systems

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Qi Heng Ho - [email protected]

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