Pi Robot is currently certified at Master level.

Name: Patrick Goebel
Member since: 2009-09-14 23:25:55
Last Login: 2013-04-21 02:19:50

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Homepage: http://www.pirobot.org


My academic background is in Physics, Mathematics and Cognitive Psychology in which I hold a PhD. My dissertation concerned a connectionist neural network for controlling a limb with multiple degrees of freedom. I now work as a system administrator and web developer but discovered the field of hobby robotics about 4 years ago. Since then I have been working on a project I call Pi Robot which is described in more detail at my website, http://www.pirobot.org. I've learned a great deal from all the folks here at robots.net and I hope I can contribute something of value in return!

Recent blog entries by Pi Robot

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Fuerte and Groovy versions of ROS By Example now Available

Both PDF and paperback versions are available on Lulu.com:

Fuerte: PDF / Paperback

Groovy: PDF / Paperback
24 Oct 2012 (updated 24 Oct 2012 at 13:39 UTC) »
Fuerte Cheat Sheet Available for ROS By Example Book

A short conversion guide is now available for using the ROS By Example book with ROS Fuerte instead of Electric. The guide can be found at the following link:


3 Oct 2012 (updated 3 Oct 2012 at 00:49 UTC) »
The First Book on ROS for Beginners

I have written a book on ROS for beginners called ROS By Example and available on Lulu in paperback or PDF.

PLEASE NOTE: The book was written for and tested against ROS Electric under Ubuntu 10.04 (Lucid) and 11.10 (Oneric). Some of the code samples definitely will not work under ROS Fuerte at this time and Debian packages for ROS Electric are not available for Ubuntu 12.04 (Precise).

Please also note that the book assumes that the reader has already worked through the ROS Beginner Tutorials.
ROS Head Tracking Tutorial Available

For those of you getting started with ROS, I have written up a do-it-yourself tutorial for tracking a colored object using a web cam and AX-12 pan and tilt servos. You can find it here:

ROS by Example: Visual Object Tracking


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