The neural learning for robotics research (NLR) laboratory is lead by Prof. Elmar Rueckert and located at the Institute for Robotics and Cognitive Systems at University of Lübeck and affiliated with the Technical University Darmstadt.

The group’s research topics are autonomous systems, machine and deep learning, brain-computer interfaces and simulations and computational models.

Short bio:

Elmar Rueckert is professor of Robotics and Autonomous Systems at the University of Luebeck and head of the research group “Neural Learning Methods for Robotics“. In 2014, he received his PhD in computer science at the Graz University of Technology. His dissertation on “biologically inspired motor learning methods for robots using probabilistic inference” was awarded summa cum laude. Thereafter he worked as a doctoral scientist at the Institute for Intelligent Autonomous Systems at the Technical University of Darmstadt. In 2016 he became the group leader of the research group “Neuronal Learning Methods for Robotics” and co-superviser of two PhD students. At the same time, he became coordinator of the associated EU project on cognitive learning methods in robotics.

At the beginning of 2018, Elmar Rueckert was appointed to the University of Luebeck, where his research interests include learning autonomous systems. Elmar Rueckert gives bachelor and master lectures in humanoid robotics, probabilistic robotics and machine learning. His research has contributed significantly to the understanding of stochastic and neuronal control and learning methods in robotics. His work on model predictive control with neuronal networks has been crucial for the realization of recent breakthroughs in real-time control strategies of humanoid robots with event based neuronal networks.. CV of Prof. Elmar Rueckert, E-Mail.