Biblio
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2014. 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.
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2014. Assessment of human-likeness and naturalness of interceptive arm reaching movement accomplished by a humanoid robot. ECVP 2014 Abstracts. 43:107–107.
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2009. Attractor-based computation with reservoirs for online learning of inverse kinematics. European Symposium Artificial Neural Networks (ESANN). :257–262.
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2012. Balancing of neural contributions for multi-modal hidden state association. Proc. European Symposium on Artificial Neural Networks. :19–24.
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2011. A constrained regularization approach for input-driven recurrent neural networks. Differential Equations and Dynamical Systems. 19:27–46.
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2016. Continuous Task-Priority Rearrangement during Motion Execution with a Mixture of Torque Controllers. Proc. IEEE Humanoids.
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2015. Device Mismatch in a Neuromorphic System Implements Random Features for Regression. Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. :1–4.
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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).
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2010. Efficient online learning of a non-negative sparse autoencoder. European Symposium Artificial Neural Networks. :1–6.
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2015. Efficient Policy Search in Low-dimensional Embedding Spaces by Generalizing Motion Primitives with a Parameterized Skill Memory. Autonomous Robots. 38:331–348.
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2014. Efficient Policy Search with a Parameterized Skill Memory. :1400–1407.
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2016. 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.
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2009. Goal-directed movement generation with a transient-based recurrent neural network controller. Advanced Technologies for Enhanced Quality of Life. :112–117.
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2017. Hybrid Analytical and Data-driven Modeling for Feed-forward Robot Control. Sensors. 17(2)
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2016. Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.
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2015. Impact of Regularization on the Model Space for Time Series Classification. New Challenges in Neural Computation (NC2). :49–56.
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2016. Incremental Bootstrapping of Parameterized Motor Skills. Proc. IEEE Humanoids.
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2018. Maschinelles Lernen in technischen Systemen. Steigerung der Intelligenz mechatronischer Systeme. :pp.73-118.
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2016. Modelling of Parameterized Processes via Regression in the Model Space. Proceedings of 24th European Symposium on Artificial Neural Networks. :53–58.
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2013. Multi-directional Continuous Association with Input-driven Neural Dynamics. Neurocomputing (Special Issue ESANN 2012). 112:47–57.
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2015. A Multi-Level Control Architecture for the Bionic Handling Assistant. Advanced Robotics. 29:847–859.
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2015. Multiple Task Optimization with a Mixture of Controllers for Motion Generation. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :6416–6421.
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2011. Neural learning and dynamical selection of redundant solutions for inverse kinematic control. Proc. IEEE Int. Conf. Humanoid Robots. :564–569.
