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README.md

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Documentation
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------------
2020

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https://eurecat.github.io/BehaviorTree.CPP
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https://behaviortree.github.io/BehaviorTree.CPP/
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Reference
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------------
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Please refer to the following paper when using the library:
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**How Behavior Trees Modularize Hybrid Control Systems and Generalize Sequential Behavior Compositions, the Subsumption Architecture,
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and Decision Trees.** Michele Colledanchise and Petter Ogren. IEEE Transaction on Robotics 2017.
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Bibtex entry:
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`@ARTICLE{TRO17Colledanchise,` <br/>
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`author={M. Colledanchise and P. Ögren},` <br/>
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`journal={IEEE Transactions on Robotics},` <br/>
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`title={{How Behavior Trees Modularize Hybrid Control Systems and Generalize Sequential Behavior Compositions, the Subsumption Architecture, and Decision Trees}},` <br/>
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`year={2017},` <br/>
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`volume={33},` <br/>
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`number={2},` <br/>
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`pages={372-389},` <br/>
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`keywords={Computer architecture;Decision trees;High definition video;Robot control;Switches;Behavior trees (BTs);decision trees;finite state machines (FSMs);hybrid dynamical systems (HDSs);modularity;sequential behavior compositions;subsumption architecture}, ` <br/>
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`doi={10.1109/TRO.2016.2633567},` <br/>
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`ISSN={1552-3098},` <br/>
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`month={April},}`<br/>
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Further readings
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---------------
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The book Behavior Trees in Robotics and AI, published by CRC Press Taylor & Francis, is available for purchase
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(ebook and hardcover) on the CRC Press Store or Amazon. The Preprint version (free) is available here: https://arxiv.org/abs/1709.00084
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Tutorials available at https://btirai.github.io/
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Aknowledgement
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------------
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This library is the result of the join effort between **Eurecat** (main autjor, Davide Faconti) and the
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[RobMoSys first open call](https://robmosys.eu/itp/) and it received funding from the European
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Union’s Horizon 2020 Research and Innovation Programme.
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Further readings
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---------------
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Please refer to the following paper when using the library:
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**How Behavior Trees Modularize Hybrid Control Systems and Generalize Sequential Behavior Compositions, the Subsumption Architecture,
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and Decision Trees.** Michele Colledanchise and Petter Ogren. IEEE Transaction on Robotics 2017.
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**Behavior Trees in Robotics and AI**, published by CRC Press Taylor & Francis, is available for purchase
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(ebook and hardcover) on the CRC Press Store or Amazon.
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The Preprint version (free) is available here: https://arxiv.org/abs/1709.00084
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License
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-------
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The MIT License (MIT)

mkdocs.yml

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text: Ubuntu
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code: Roboto Mono
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repo_name: 'BehaviorTreeCPP'
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repo_url: 'https://github.com/BehaviorTree/BehaviorTreeCPP'
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repo_name: 'BehaviorTree.CPP'
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repo_url: 'https://github.com/BehaviorTree/BehaviorTree.CPP'
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markdown_extensions:
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- admonition

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