Hi,

Thanks for sharing!

Another option you might consider would be using a configuration management system such as Ansible or Puppet. These systems can get (and keep) a target system in a particular state more deterministically and reliably than a shell script can.

Finally, what we do is just use a preseeded installer ISO (based on Ubuntu Minimal) that sets up the package sources and installs the ROS base as part of the Ubuntu install itself— because most/all of the setup is preseeded away, there's very little scope for error. At present, this is proprietary, but there's not a lot to it; if there's general interest, we would consider opening it up as a generic "ROS ISO" generator suitable for setting up robot PCs or developer workstations.

Mike

On 5 September 2014 08:12, Yoonseok Pyo <passionvirus@gmail.com> wrote:

Hi Everyone,

I'm Pyo and Ph.D student in kyushu university (Japan), also member of
ROS Korea Users Group.
(https://groups.google.com/forum/#!forum/korea-ros-users and
http://cafe.naver.com/openrt)

Recently, we make the simple script to install the ROS indigo.
I know that the manual installing method is very simple and efficient, below.
http://wiki.ros.org/indigo/Installation/Ubuntu
http://wiki.ros.org/ROS/Tutorials/InstallingandConfiguringROSEnvironment

But, sometime, the work was tiring and tedious when install the ROS on
a lot of computers.
So, we make the simple script to install the ROS indigo.
We're pleased to announce a new installing method, below.

"Just type two line below on your command line! :)"

--------------------------------------------------------------------------------
wget https://raw.githubusercontent.com/oroca/oroca-ros-pkg/master/ros_indigo_install.sh
sh ros_indigo_install.sh
--------------------------------------------------------------------------------

This script file is tested in Ubuntu 14.04 LTS and Ubuntu 13.10.

Enjoy ROS.

PS. Please let me know any mistakes you find, or better correct yourself :)

Best regards,
Yoonseok Pyo

--
//------------------------------------------------------------------------------
Yoonseok Pyo (Ph.D student)
JSPS Research Fellow
Laboratory for Intelligent Robots & Vision System, Kyushu University
E-mail pyo at irvs.ait.kyushu-u.ac.jp
Web http://robotics.ait.kyushu-u.ac.jp [Laboratory]
Web http://www.robotpilot.net [Personal]
//------------------------------------------------------------------------------
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