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