Niko Sünderhauf

  • Chief Investigator
  • PhD Chemnitz University of Technology
  • LinkedIn Profile
  • QUT
  • 2014 - 2021

Associate Professor Niko Suenderhauf is a Chief Investigator at the Centre, where he leads the Robotic Vision Evaluation and Benchmarking project. As a member of the Executive Committee, Niko leads the Visual Learning and Understanding program at the QUT Centre for Robotics.

Niko conducts research in robotic vision, at the intersection of robotics, computer vision, and machine learning. His research interests focus on scene understanding and how robots can learn to perform complex tasks that require navigation and interaction with objects, the environment, and humans.

Together with his research group and colleagues, Niko develops new approaches to object-based simultaneous localisation and mapping (SLAM) and new ways to incorporate semantics and prior knowledge into reinforcement learning. He is very interested in questions around the reliability and robustness of machine learning for real-world applications and leads a project on new benchmarking challenges in robotic vision.

Associate Professor Suenderhauf is co-chair of the IEEE Robotics and Automation Society Technical Committee on Robotic Perception and regularly organises workshops at leading robotics and computer vision conferences.

He is member of the editorial board for the International Journal of Robotics Research (IJRR), and was Associate Editor for the IEEE Robotics and Automation Letters journal (RA-L) from 2015 to 2019. Niko served as AE for the IEEE International Conference on Robotics and Automation (ICRA) 2018 and 2020.

In his role as an educator at QUT, Niko enjoys teaching Introduction to Robotics (EGB339), Mechatronics Design 3 (EGH419), as well as Digital Signals and Image Processing (EGH444) to the undergraduate students in the Electrical Engineering degree.

Niko received his PhD from Chemnitz University of Technology, Germany in 2012. In his thesis, Niko focused on robust factor graph-based models for robotic localisation and mapping, as well as general probabilistic estimation problems, and developed the mathematical concepts of Switchable Constraints. After two years as a Research Fellow in Chemnitz, Niko joined QUT as a Research Fellow in March 2014, before being appointed to a tenured Lecturer position in 2017.

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