Selected Publications

M. Mühlig, J. Steil, and M. Gienger (2011), Interactive Imitation Learning of Object Movement Skills, Autonomous Robots 32(2): 97–114.

B. Dittes and C. Goerick (2011), A Language for Formal Design of Embedded Intelligence
Research Systems, Robotics and Autonomous Systems  59(3-4): 181–193.

J. Schmüdderich and S. Rebhan (2011),  A  method and system for predicting movement behavior of a target traffic object, patent.

R. Kastner, T. Michalke, J. Adamy, J. Fritsch, C. Goerick (2011), Task-Based Environment Interpretation and System Architecture for Next Generation ADAS, IEEE Intelligent Transportation Systems Magazine, Volume 3(4): 20–33.

L. Graening, S. Menzel, M. Hasenjäger, T. Bihrer, M. Olhofer, B. Sendhoff (2008), Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries, in: Journal of Mathematical Modelling and Algorithms 7(4): 329–350.

L. Schramm, Y. Jin, B. Sendhoff (2012), Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration, in: Artificial Life 18(4): 1–44.


H. Lehmann and S. Menzel (2012), Evolvability as Concept for the Optimal Design of Free-Form Deformation Control Volumes, in: Proceedings of the 2012 IEEE Congress on Evolutionary Computation, IEEE, Brisbane, Australia.

E. Reehuis, J. Kruisselbrink, M. Olhofer, L. Graening, B. Sendhoff, and T. Baeck (2011), Model Guided Evolution Strategies for Dynamically Balancing Exploration and Exploitation, in: The Biannual International Conference on Articial Evolution. Universite d'Angers, Angers, France, 306–317.

J. Lücke & J. Eggert (2010), Expectation Truncation and the Benefits of Preselection in Training Generative Models, Journal of Machine Learning Research (11): 2855–2900.

S. Rebhan & J. Eggert (2010), Dynamic, Task-Related and Demand-Driven Scene Representation, Cognitive Computation 3(1): 124–145.

A. Knoblauch (2011), Neural Associative Memory with Optimal Bayesian Learning, Neural Computation 23(6): 1393-1451.

C. Gläser and F. Joublin (2010), A Computational Model for Grounding Words in the Perception of  Agents,  in:  Proceedings  of  the  9th  IEEE International  Conference  on  Development  and Learning (ICDL), IEEE, Ann Arbor, MI, USA,  26–32.


S. Kirstein, H. Wersing, H.-M. Gross, E. Körner (2012), A Life-Long Learning Vector Quantization Approach for Interactive Learning of Multiple Categories, Neural Networks 28: 90–105.

S. Hasler, H. Wersing, S. Kirstein, E. Körner (2009), Large-scale Real-time Object Identifi cation Based on Analytic Features, Proc Int. Conf. Artifcial Neural Networks, ICANN, Limassol, Cyprus, 663–672.

M. Heckmann, X. Domont, F. Joublin, and C. Goerick (2011),  A Hierarchical Framework for Spectro-Temporal Feature Extraction, Speech Communication 53: 736–752.

M. Franzius, N. Wilbert, L. Wiskott (2011), Invariant Object Recognition and Pose Estimation with Slow Feature Analysis, Neural Computation 23(9): 2289–2323.


J. Deigmöller, H. Janssen, O. Fuchs, A. Bendig, J. Eggert (2011), Rear-view warning system for vehicles to detect approaching objects, patent.

K. Narukawa and T. Rodemann (2012), Examining the Performance of Evolutionary Many-Objective Optimization Algorithms on a Real-World Application, IEEE International Conference on Genetic and Evolutionary Computation, Kita-Kyushu, Japan.