Neural Learning of Vector Fields for Encoding Stable Dynamical Systems
In: Neurocomputing, Jg. 141, S. 3-142014Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity
In: Neurocomputing, Jg. 102 H. Special Issue: Advances in Extreme Learning Machines (ELM 2011), S. 23-302013Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot
In: Procedia Technology, Jg. 26, S. 12-192016Goal Babbling with direction sampling for simultaneous exploration and learning of inverse kinematics of a humanoid robot
In: Proceedings of the workshop on New Challenges in Neural Computation, Jg. 4, S. 56-632016Rare neural correlations implement robotic conditioning with reward delays and disturbances
In: Frontiers in Neurorobotics, Jg. 7, S. 6 ff.2013Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods
In: Journal of Intelligent Learning Systems and Applications, Jg. 4 H. 3, S. 230-2462012Reliable Integration of Continuous Constraints into Extreme Learning Machines
In: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Jg. 21 H. Suppl 2, S. 35-502013Robots show us how to teach them: Feedback from robots shapes tutoring behavior during action learning
In: PLoS ONE, Jg. 9 H. 32014A user study on personalized stiffness control and task specificity in physical Human-Robot Interaction
In: Frontiers in Robotics and AI, Jg. 42017