Martin Rufli received his B.Sc. and M.Sc. degrees in Mechanical Engineering as well as a Ph.D. degree in Robotics from ETH Zurich (Switzerland) in 2006, 2008, and 2012, respectively. He conducted his M.Sc. thesis on Robotic Motion Planning at Carnegie Mellon University (USA), and completed a research stint at Harbin Institute of Technology (P.R. China).
From 2012 to 2013 he was a Postdoctoral Research Fellow with the Autonomous Systems Lab at ETH Zurich. At ETH, his research involved 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 concerned system-based online methods and algorithms that model robot–robot interaction.
Martin joined IBM as a Research Staff Member in 2013. His research at IBM focuses on the design and development of a highly scalable cloud-backed localization and mapping framework with applications in IoT and Robotics.
Martin is a lecturer at ETH Zurich and co-teaches the Autonomous Mobile Robots graduate-level course.