miodine / mind_controled_robot

Mapping EEG brain activity onto the controls of a mobile robot using machine learning.

Final Project - M2SAAS

General information

• Topic: Development of control routines for BCI-based control of a mobile platform.

• Authors: P. Rozenblut & E. Robakowska

About the workspace

This is the master repository for all the project work that we will be doing. I've divided it into three sections:

1. ros_workspace for all the work done in ROS
2. docs for all the documentation of the project CODE; this one is rather optional
3. data_analysis for the work output of data analysis of the dataset
4. other for all the other things.

Our technology stack

0. VMWare-17-Workstation Player [DOWNLOAD HERE]
1. Ubuntu 20.04 Desktop [DOWNLOAD HERE] [DOWNLOAD TORRENT]
2. ROS Noetic [HOW TO DOWNLOAD AND INSTALL]
3. GitHub Desktop (xD):

wget https://github.com/shiftkey/desktop/releases/download/release-2.9.3-linux3/GitHubDesktop-linux-2.9.3-linux3.deb &&
sudo dpkg -i GitHubDesktop-linux-2.9.3-linux3.deb)

4. That bb8 robot [GRAB IT HERE]

Notes on development

1. Both C++ and Python code should be commented
   • in a minimal way
   • using markdown styling

Dependency list:

In case you missed something, to run that robot you have to install robot_controllers package.

cd ~/ros_workspace/src
git clone https://github.com/fetchrobotics/robot_controllers.git

... and if you loose the robot, you can re-install it with:

git clone --depth 1 -b noetic https://bitbucket.org/theconstructcore/bb8.git

... control interface:

roslaunch bb_8_teleop keyboard_teleop.launch

...other stuff:

sudo apt install ros-noetic-effort-controllers
sudo apt install ros-noetic-joint-state-controller

Running the system

Navigate into the ros_workspace folder. Then type the following commands:

catkin_make
source devel/setup.bash
roslaunch mcr_main mcr_main.launch

Which will start everything.