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Robot Operating System (ROS)

On Linux

Follow http://wiki.ros.org/ROS/Installation. We will use ROS Kinetic in the course, nevertheless, ROS Melodic should mostly be compatible.

You can also use the Singularity image provided for labs, or modify the Singularity recipe to build your custom image.

On Windows

  • Ubuntu in VirtualBox
    • Expect the support to be only partial as WSL have some limitations.
    • Use ROS Melodic with Ubuntu 18.04 or ROS Kinetic with Ubuntu 16.04. ROS installation instructions for Linux shoud work once you are in the Ubuntu Bash shell.
    • For applications with graphical output (e.g., RViz), you will need:
      • Running X Server for Windows (e.g., XMing)
      • Target X display specified (usually :0) when running graphical applications:
        DIPLAY=:0 rosrun rviz rviz
      • You can add it to ~/.bashrc for it to stay in effect:
        echo 'export DISPLAY=:0' > ~/.bashrc
  • Dual boot with Ubuntu

At Labs

At labs (e.g., E130, E132), Robot Operating System (ROS) is available through Singularity containers. For Ubuntu 16.04 + ROS Kinetic, run:
singularity shell --nv /opt/ros-kinetic-desktop-full.simg
(--nv is needed for graphical output, e.g. RViz)

Then a catkin workspace has to be sourced, e.g. the system one:
source /opt/ros/kinetic/setup.bash
or your own workspace:
source ~/workspace/aro/devel/setup.bash

All images from Docker Hub are available too, e.g.:
singularity shell --nv docker://ros:kinetic-robot-xenial
singularity shell --nv docker://ros:melodic-robot-bionic
Note however that the images are quite large and download to your home (with limited space) by default: So one may need to switch the cache directory somewhere else, e.g.:
mkdir -p /tmp/$USER/singularity
ln -s /tmp/$USER/singularity ~/.singularity

On GPU Servers

There are GPU servers available via remote access (ssh). Log in via one of these commands (use your faculty username):
ssh -X username@cantor.felk.cvut.cz
ssh -X username@taylor.felk.cvut.cz
Singularity images may also be located under /local/singularity_images. You can follow, more or less, the instructions for labs once you are there.

Also, please read the instructions on GPU usage. Most notably, use at most one GPU at once. Select GPU to use via environmental variable CUDA_VISIBLE_DEVICES, e.g.
Prevent using any if you don't need it:
You can export it to stay in effect for all the following commands:

courses/aro/tutorials/ros.txt · Last modified: 2019/03/05 17:25 by petrito1