Biblio
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2017. Imitation learning for a continuum trunk robot. Proceedings of the 25. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
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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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2021. Impedance-based Physical Human-Multi-Robot Collaboration. International Journal of Robotics Research.
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2018. Improved Human-Robot Interaction: A manipulability based approach. ICRA 2018 Workshop on Ergonomic Physical Human-Robot Collaboration.
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2008. Improving reservoirs using intrinsic plasticity. Neurocomputing. 71:1159–1171.
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2016. Improving the Inverse Dynamics Model of the KUKA LWR IV+ using Independent Joint Learning. Proceedings 7th IFAC Symposium on Mechatronic Systems. :507––512.
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2016. Incremental Bootstrapping of Parameterized Motor Skills. Proc. IEEE Humanoids.
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2009. Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQ. International Workshop on Self-Organizing Maps (WSOM). :45–53.
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2015. Independent Joint Learning in Practice: Local Error Estimates to Improve Inverse Dynamics Control. :643–650.
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2005. Input Space Bifurcation Manifolds of Recurrent Neural Networks. Neurocomputing. 64:25–38.
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2004. Input Space Bifurcation Manifolds of RNNs. Proc. European Symposium Artificial Neural Networks. :13–19.
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1998. Input-Output Stability of Recurrent Neural Networks with Delays using Circle Criteria. Proc. Int. ICSC/IFAC Symposium on Neural Computation. :519–525.
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2011. Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing. 74:1372–1381.
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2009. Integrating Inhomogeneous Processing and Proto-object Formation in a Computational Model of Visual Attention. Human Centered Robot Systems: Cognition, Interaction, Technology. :93–102.
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2012. Intelligent Interfaces between Humans and Technology. 22:2.
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2012. Interactive Imitation Learning of Object Movement Skills. Autonomous Robots. 32:97–114.
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2010. Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks. Proc. 20. Workshop on Computational Intelligence.
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2021. Interest-Driven Exploration with Observational Learning for Developmental Robots. IEEE Transactions on Cognitive and Developmental Systems .
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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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2013. Intrinsic Plasticity via Natural Gradient Descent with Application to Drift Compensation. Neurocomputing. 112:26–33.
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In Press. Ist KI zu kontrollieren? Überlegungen zur Ethik des Zusammenwirkens von Menschen und KI-Maschinen In Steil, J.J. et al. Hrsg.: SYnENZ - Synergie und Intelligenz im Zusammenwirken von Mensch und Maschine: Beurteilen - Messen - Bewerten.
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2024. KI für die Fachkräftesicherung nutzen. Lösungsansätze für Automatisierung, Teilhabe und Wissenstransfer.. Whitepaper aus der Plattform Lernende Systeme.
