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https://github.com/BehaviorTree/Groot

Graphical Editor to create BehaviorTrees. Compliant with BehaviorTree.CPP
https://github.com/BehaviorTree/Groot

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Graphical Editor to create BehaviorTrees. Compliant with BehaviorTree.CPP

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README 

        
[![Build Status](https://travis-ci.org/BehaviorTree/Groot.svg?branch=master)](https://travis-ci.org/BehaviorTree/Groot)



# DEPRECATION notice



Groot is being rewritten from the ground up (https://www.behaviortree.dev/groot). 

This repository will be in "maintenance mode" and won't receive any significant update. 

Issues will **not** be addressed by the main author but, occasionally, Pull Requests **might** be checked and merged.



**Groot 1.0 is compatible only with BehaviorTree.CPP 3.8.x**, and it is not expected to 

work correctly with BehaviorTree.CPP 4.x.



Groot 2.0 introduces many new functionalities and compatibility with BT.CPP 4.0.



**If you use Groot at work** and you want to know how we are redesigning it to be more flexible, 

reliable, fast and scalable, get in touch with the main author: [email protected].



# Groot 



**Groot** is a Graphical Editor, written in C++ and Qt, to create [BehaviorTrees](https://en.wikipedia.org/wiki/Behavior_tree).



It is compliant with the the library [BehaviorTree.CPP](https://github.com/BehaviorTree/BehaviorTree.CPP).



[![Groot Editor](groot-screenshot.png)](https://vimeo.com/275066768)



In the following video you can see how the C++ library and

the graphic user interface are used to design and monitor a Behavior Tree.



[![MOOD2Be](video_MOOD2Be.png)](https://vimeo.com/304651183)



# Dependencies, Installation, and Usage



To compile the project you need:



- [CMake 3.2](https://cmake.org/download)

- Qt5 (tested with version 5.5.1), including the SVG module.



On Ubuntu Xenial or later, you can install the dependencies with:



       sudo apt install qtbase5-dev libqt5svg5-dev libzmq3-dev libdw-dev

      

Some functionalities of the code related to ROS will work __only__ if the

project is compiled with _catkin_.



## Compilation instructions (Linux)



```

git clone --recurse-submodules https://github.com/BehaviorTree/Groot.git

cd Groot

cmake -S . -B build

cmake --build build

```

       

 Note compiling "in-source" is not allowed.   

 

 ## Compilation instructions (ROS/ROS2)



**Discouraged**



If you want to compile using `catkin build`(ROS) or `colcon_build` (ROS2)

then you must be sure that version 3.8.x is used (branch V3.8).



You may probably want to compile BehaviorTree.CPP in the same workspace.



```

git clone --branch v3.8 https://github.com/BehaviorTree/BehaviorTree.CPP.git

```



# Licence       



Copyright (c) 2018-2019 FUNDACIO EURECAT 



Permission is hereby granted, free of charge, to any person obtaining a 

copy of this software and associated documentation files (the "Software"), 

to deal in the Software without restriction, including without limitation 

the rights to use, copy, modify, merge, publish, distribute, sublicense, 

and/or sell copies of the Software, and to permit persons to whom the 

Software is furnished to do so, subject to the following conditions:



The above copyright notice and this permission notice shall be included 

in all copies or substantial portions of the Software.



THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS 

OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 

FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL 

THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 

LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING 

FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER 

DEALINGS IN THE SOFTWARE.



  

# Acknowledgment



This project is one of the main components of [MOOD2Be](https://eurecat.org/es/portfolio-items/mood2be/),

and it is developed at [Eurecat](https://eurecat.org) by Davide Faconti.



MOOD2Be is one of the six **Integrated Technical Projects (ITPs)** selected from the [RobMoSys first open call](https://robmosys.eu/itp/). 



It received funding from the European Union’s Horizon 2020 Research and Innovation Programme

under the RobMoSys project.