Biblio
] .
2018. Maschinelles Lernen in technischen Systemen. Steigerung der Intelligenz mechatronischer Systeme. :pp.73-118.
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2015. Learning Robot Motions with Stable Dynamical Systems under Diffeomorphic Transformations. Robotics and Autonomous Systems. 70:1–15.
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2015. A Multi-Level Control Architecture for the Bionic Handling Assistant. Advanced Robotics. 29:847–859.
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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. Neural Learning of Vector Fields for Encoding Stable Dynamical Systems. Neurocomputing. 141:3–14.
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2014. Reliability of Extreme Learning Machines. :155.
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2013. Intrinsic Plasticity via Natural Gradient Descent with Application to Drift Compensation. Neurocomputing. 112:26–33.
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2013. Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. :1216–1222.
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2013. Neurally imprinted stable vector fields. ESANN. :327–332.
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2013. Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity. Neurocomputing. 102:23–30.
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2013. Reliable Integration of Continuous Constraints into Extreme Learning Machines. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 21:35–50.
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2012. Intrinsic Plasticity via Natural Gradient Decent. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012). Proceedings. :555–560.
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2012. Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods. Journal of Intelligent Learning Systems and Applications. 4:230–246.
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2011. Batch Intrinsic Plasticity for Extreme Learning Machines. Artificial Neural Networks and Machine Learning – ICANN 2011. Pt. 1. 6791:339–346.
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2010. Learning Inverse Kinematics for Pose-Constraint Bi-Manual Movements. From Animals to Animats 11. 11th International Conference on Simulation of Adaptive Behavior, SAB 2010. Proceedings. 6226
