Elmar Rückert is Professor of Robotics and Autonomous Systems at the University of Lübeck and head of the research group "Neural Learning Methods for Robotics". In 2014 he received his doctorate in mathematics and 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. He then worked as a postdoctoral researcher at the Institute for Intelligent Autonomous Systems at Darmstadt University of Technology. In 2016 he became group leader of the research group "Neural Learning Methods for Robotics" and took over the supervision of two Ph.D. students. At the same time, he became the coordinator of the related EU project on cognitive learning methods in robotics.

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