Biblio
] .
2016. Incremental Bootstrapping of Parameterized Motor Skills. Proc. IEEE Humanoids.
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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. Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.
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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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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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2014. Efficient Policy Search with a Parameterized Skill Memory. :1400–1407.
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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. 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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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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2016. Continuous Task-Priority Rearrangement during Motion Execution with a Mixture of Torque Controllers. Proc. IEEE Humanoids.
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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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2009. Attractor-based computation with reservoirs for online learning of inverse kinematics. European Symposium Artificial Neural Networks (ESANN). :257–262.
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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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2018. Maschinelles Lernen in technischen Systemen. Steigerung der Intelligenz mechatronischer Systeme. :pp.73-118.
