Notes:
- Make sure that
Atom
is flashed into the top Atom andTransponder
orminirobot
is flashed into the base Basic .The tool download address: https://github.com/elephantrobotics/myCobot/tree/main/Software - Supported ROS versions:
- Ubuntu 16.04 / ROS Kinetic
- Ubuntu 18.04 / ROS Melodic
- Ubuntu 20.04 / ROS Noetic
There are two ways to run this project. The first is by running the project in a container, and this requires installing docker and installing docker-compose. The benefit of running in the container is that you can run the project in any version of linux, as long as your kernel is new enough.
Once docker is installed, run the following command, and the project should show up.
without NVIDIA GPU:
docker-compose build ros && xhost +local:root && docker-compose up ros
with NVIDIA GPU
docker-compose build nvidia-ros && xhost +local:root && docker-compose up nvidia-ros
This command does three things:
-
docker-compose build ros
This builds the project in a container. That means nothing is installed on your host machine! The first time this runs, this command will take a long while. After running it once, caching will allow this command to run quickly.
-
xhost +local:root
This command gives X the ability to display GUI's from within the docker container
-
docker-compose up ros
This runs the image specified in the
docker-compose.yml
, which by default runs the commandroslaunch mycobot_320 mycobot_320_slider.launch
within the container.
For using this package, the Python api library should be installed first.
pip install pymycobot --user
Install ros package in your src folder of your Catkin workspace.
$ cd ~/catkin_ws/src
$ git clone --depth 1 https://github.com/elephantrobotics/mycobot_ros.git
$ cd ~/catkin_ws
$ catkin_make
$ source ~/catkin_ws/devel/setup.bash
$ sudo echo 'source ~/catkin_ws/devel/setup.bash' >> ~/.bashrc
cd ~/catkin_ws/src/mycobot_ros
python test.py