A Layered Recurrent Neural Network for Feature Grouping. Int. Conf. on Artificial Neural Networks. :439–444.. 1997.
Local input-output stability of recurrent networks with time-varying weights. Proc. European Symposium Artificial Neural Networks. :281–286.. 2000.
Local structural stability of recurrent networks with time-varying weights. Neurocomputing. 48:39–51.. 2002.
Learning Compatibitlity Functions for Feature Binding and Perceptual Grouping. Proc. of Int. Conference Artificial Neural Networks. LNCS 2714:60–67.. 2003.
Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions. IEEE Trans. Neural Networks. 17:843–862.. 2006.
Learning Flexible Full Body Kinematics for Humanoid Tool Use. Int. Symp. Learning and Adaptive Behavior in Robotic Systems (Best Paper Award). :171–176.. 2010.
Learning Inverse Kinematics for Pose-Constraint Bi-Manual Movements. From Animals to Animats 11. 11th International Conference on Simulation of Adaptive Behavior, SAB 2010. Proceedings. 6226. 2010.
Learning Lab - Physical Interaction with Humanoid Robots for Pupils. Proc. Robotics in Education. :21–28.. 2011.
LMI BASED Anti-Windup Controller Designing for Ball and Beam Control System. International Bhurban Conference on Applied Sciences and Technology.. 2011.
Learning visuo-motor coordination for pointing without depth calculation. Proc. European Symposium on Artificial Neural Networks. :91–96.. 2012.
Lernen und Sicherheit in Interaktion mit Robotern aus Maschinensicht. Robotik und Gesetzgebung. 2:51–71.. 2013.
Learning Movement Primitives for Force Interaction Tasks. ICRA. :3192–3199.. 2015.
Learning Robot Motions with Stable Dynamical Systems under Diffeomorphic Transformations. Robotics and Autonomous Systems. 70:1–15.. 2015.
Learning the stiffness of a continuous soft manipulator from multiple demonstrations. International Conference on Intelligent Robotics and Applications.. 2015.
Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression. 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).. 2016.
Learning Inverse Statics Models Efficiently with Symmetry-Based Exploration. Frontiers in Neurorobotics.. 2018.