Martin Rufli

 

 


 

Martin Rufli is a Research Scientist at IBM Research Zurich. He received his B.Sc. and M.Sc. degrees in mechanical engineering and the Ph.D. degree in robotics, all from ETH Zurich, Switzerland, in 2006, 2008, and 2012, respectively. From September 2012 to August 2013 he was a postdoctoral research fellow and has been a lecturer since February 2011 at the Autonomous Systems Lab, ETH Zurich. His current research interests include the design of novel algorithms for robotic navigation with the aim to bring robots out of factory lines and into our everyday lives. The main focus in this regard concerns system-based online methods and algorithms that model robot–robot interaction.

More info: http://n.ethz.ch/~ruflim/




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Jun 13th 2016

Basic concepts and algorithms for locomotion, perception, and intelligent navigation. Robots are rapidly evolving from factory workhorses, which are physically bound to their work-cells, to increasingly complex machines capable of performing challenging tasks in our daily environment. The objective of this course is to provide the basic concepts and algorithms required to develop mobile robots that act autonomously in complex environments.

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