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martinandrovich / rb-pro5

The project combines the fields of robotic path planning, computer vision and artificial intelligence, to be implemented as algorithms with the purpose of controlling a robot within a simulated environment.
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artificial-intelligence computer-vision cpp gazebo pathfinding robotics

readme

rb-pro5

The project combines the fields of robotic path planning, computer vision and artificial intelligence, to be implemented as algorithms with the purpose of controlling a robot within a simulated environment; this environment contains marbles where the objective is to map the environment and collect marbles efficiently.

gazebo-sreenshot

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Dependencies

This project is compiled using CMake and built with:

Installing

The dependencies can be installed on Linux (Ubuntu 18.04) with the following commands:

sudo apt-get install libopencv-dev
sudo apt-get install libopencv-contrib-dev
curl -sSL http://get.gazebosim.org | sh

If desired, OpenCV 4 can be used, but must be installed manually with contrib modules.

Notice, if using Visual Studio Code C/C++ extension, the linter might have issues with the Gazebo header files; simply add the following lines to the include path to resolve this issuse:

/usr/include/gazebo-9
/usr/include/sdformat-6.2
/usr/include/ignition/math4
/usr/include/ignition/msgs1

Demo

End with an example of getting some data out of the system or using it for a little demo.

Versioning

We use SemVer for versioning. For the versions available, see the releases on this repository. Furthermore, this changelog documents the most relevant changes.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments

Thanks to the supervisors at Southern University of Danmark, particulary: