The system is based on Raspbian Stretch and can be downloaded from the following link gctronic-stretch-ros-kinetic-opencv3.4.1.img.tar.gz.
The system starts in console mode, to switch to desktop (LXDE) mode issue the command
When booting the first time, the first thing to do is expanding the file system in order to use all the available space on the micro sd:
Advanced Options and then
- ROS Kinetic
- OpenCV 3.4.1
The e-puck2 robot must be programmed with the following firmware e-puck2_main-processor_gumstix.elf and the selector must be placed in position 10.
This is needed in order to exchange data with the robot through I2C.
The ROS workspace is located in
Before starting the e-puck2 ROS node on the raspberry, issue the following commands:
To start the e-puck2 ROS node issue the command:
roslaunch epuck_driver_cpp epuck_controller.launch epuck_id:='3000'
This launch file will start the e-puck2 node and the camera node.
On the PC side issue the following commands in one terminal:
And then start rviz in another terminal:
- open the configuration file named
single_epuck_driver_rviz.rvizyou can find in
The last version of the e-puck2 ROS node can be downloaded from the git:
git clone -b e-puck2 https://github.com/gctronic/epuck_driver_cpp.git
A simple demo was developed to track an orange blob. It is thought to be run with the omnivision extension. The robot rotate in place towards the target when it finds one.
The code can be downloaded from the following repo:
git clone https://github.com/e-puck2/e-puck2_pi_blob-tracking.git