Dr Niko Sünderhauf

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I am a postdoctoral research fellow at the , at in Brisbane, Australia. My current research focuses on deep learning techniques for robust robotic vision.

I obtained my PhD degree with  (chair of , lead by ) in Germany in April 2012. After two more years as a postdoc in Chemnitz I joined the Robotics and Autonomous Systems at in Brisbane in March 2014. Since August 2014 I am working with the .

During my I focused on robust graph-based models for SLAM and probabilistic estimation. More recently, place recognition and environmental perception under changing environments has attracted my attention. Within the field of mobile robotics, probabilistic techniques for sensor and data fusion and the problem of simultaneous localization and mapping (SLAM) have been fascinating me for a long time. Related questions of visual perception (using monocular, stereo, or RGB-D cameras), such as structure from motion, place recognition or object recognition interest me as well. The topic of (such as GPS) have been part of my PhD work. Besides all these Bayesian, algebraically well-defined techniques, I find biologically inspired approaches for SLAM and perception very appealing.