Generalizing the Inverse Dynamic Model of KUKA LWR IV+ for Load Variations using Regression in the Model Space. Proceedings of IEEE Int. Conf. Intelligent Robots and Systems. :606–611.. 2016.
Goal Babbling with direction sampling for simultaneous exploration and learning of inverse kinematics of a humanoid robot. Proceedings of the workshop on New Challenges in Neural Computation. 4:56–63.. 2016.
Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.. 2016.
Improving the Inverse Dynamics Model of the KUKA LWR IV+ using Independent Joint Learning. Proceedings 7th IFAC Symposium on Mechatronic Systems. :507––512.. 2016.
Incremental Bootstrapping of Parameterized Motor Skills. Proc. IEEE Humanoids.. 2016.
Modelling of Parameterized Processes via Regression in the Model Space. Proceedings of 24th European Symposium on Artificial Neural Networks. :53–58.. 2016.
Modulare Fertigungslinien für die individualisierte Produktion. Werkstattstechnik online. 4:204-210.. 2016.
Parameterized Pattern Generation via Regression in the Model Space of Echo State Networks. Proceedings of the Workshop on New Challenges in Neural Computation.. 2016.
Time Series Classification in Reservoir- and Model-Space: A Comparison. Proc. 7th IAPR Workshop on Artificial Neural Networks in Pattern Recognition.. 2016.
Trajectory Optimization of COmpliant HuMANoid (COMAN) Robot Arm using Path Parameter based Dynamic Programming. Proc. IEEE Humanoids. :705–710.. 2016.
Vertical Integration and Service Orchestration for Modular Production Systems using Business Process Models. Procedia Technologica. 26:259–266.. 2016.
Device Mismatch in a Neuromorphic System Implements Random Features for Regression. Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. :1–4.. 2015.
Effect of exploratory perturbation on the formation of kinematic synergies in Goal Babbling. 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).. 2015.
Efficient Policy Search in Low-dimensional Embedding Spaces by Generalizing Motion Primitives with a Parameterized Skill Memory. Autonomous Robots. 38:331–348.. 2015.
A flat neural network architecture to represent movement primitives with integrated sequencing. :481–486.. 2015.
Impact of Regularization on the Model Space for Time Series Classification. New Challenges in Neural Computation (NC2). :49–56.. 2015.
Independent Joint Learning in Practice: Local Error Estimates to Improve Inverse Dynamics Control. :643–650.. 2015.
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.
Modeling of Movement Control Architectures based on Motion Primitives using Domain-Specific Languages.. 2015.
A Multi-Level Control Architecture for the Bionic Handling Assistant. Advanced Robotics. 29:847–859.. 2015.
Multiple Task Optimization with a Mixture of Controllers for Motion Generation. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :6416–6421.. 2015.