Parallel evolution study of sensors and brain using OpenGL to simulate and Qt to generate graphs.
This project is the result of a scientific initiation with Professor Eduardo Simões (USP-ICMC) and is still under development. Initially, I started developing a simple GA for obstacle avoidance and exploration using 3 distance sensors as input, but the robots were evolving very quickly which was not interesting for analysis. In order to make the system more complex we are adding a neural network to the sensor analysis system. More info in the future.
First, you need to download the OpenGl and Glut:
$ sudo apt-get install mesa-common-dev
$ sudo apt-get install freeglut3-dev
$ git clone https://github.com/Brenocq/EvolutiveSystemOpenGL-ObstacleAvoidance.git
When executing the program it is possible to choose in which file the data will be saved.
$ cd EvolutiveSystemOpenGL-ObstacleAvoidance/src
$ make
$ ./run <FILE_NAME>
You can also use make run to compile and execute at the same time.
This project is licensed under the MIT License - see the LICENSE.md file for details.