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.
Open-source benchmarking for learned reaching motion generation in robotics. Paladyn, Journal of Behavioral Robotics. 6:30–41.. 2015.
An Active Compliant Control Mode for Interaction with a Pneumatic Soft Robot. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). :573–579.. 2014.
Assessment of human-likeness and naturalness of interceptive arm reaching movement accomplished by a humanoid robot. ECVP 2014 Abstracts. 43:107–107.. 2014.
Efficient exploratory learning of inverse kinematics on a bionic elephant trunk. IEEE Trans. Neural Networks and Learning Systems. 25:1147–1160.. 2014.
Model-free Path Planning for Redundant Robots using Sparse Data from Kinesthetic Teaching. Proc. of the Int. Conference on Intelligent Robots and Systems (IROS). :4381–4388.. 2014.
Multi-criteria benchmarking of movement generating dynamical systems for learning-from-demonstrations.. 2014.
Neural Learning of Vector Fields for Encoding Stable Dynamical Systems. Neurocomputing. 141:3–14.. 2014.
Robots show us how to teach them: Feedback from robots shapes tutoring behavior during action learning. PLoS ONE. 9:e91349.. 2014.
An Assistance System for Guiding Workers in Central Sterilization Supply Departments. Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments. :31–38.. 2013.
Assisted Gravity Compensation to Cope with the Complexity of Kinesthetic Teaching on Redundant Robots. :4307–4313.. 2013.
Explorative learning of right inverse functions: theoretical implications of redundancy. Neurocomputing.. 2013.
Intrinsic Plasticity via Natural Gradient Descent with Application to Drift Compensation. Neurocomputing. 112:26–33.. 2013.
Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. Neurocomputing. 112:179–188.. 2013.
Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Confined Spaces. Gearing Up and Accelerating Cross-Fertilization between Academic and Industrial Robotics Research in Europe. 94:107–127.. 2013.