rosR.pdf
The aim of this contribution is to connect two previously separated
worlds: robotic application
development with the Robot Operating System (ROS) and statistical
programming with R. This
fruitful combination becomes apparent especially in the analysis and
visualization of sensory data. We
therefore introduce a new language extension for ROS that allows to
implement nodes in pure R. All
relevant aspects are described in a step-by-step development of a common
sensor data transformation
node. This includes the reception of raw sensory data via the ROS
network, message interpretation,
bag-file analysis, transformation and visualization, as well as the
transmission of newly generated
messages back into the ROS network.
See also:
http://journal.r-project.org/archive/2013-2/dietrich-zug-kaiser.pdf
rosR:
http://wiki.ros.org/rosR
rosR_demos:
http://wiki.ros.org/rosR_demos
or:
http://eos.cs.ovgu.de/dietrich/
(text/plain)