Biblio
Modelling of Parametrized Processes via Regression in the Model Space of Neural Networks. Neurocomputing. 268(C):55-63.
.
2017. Mit Kopf, Körper und Hand: Herausforderungen Humanoider Roboter. Automatisierungstechnik, special issue on "humnoid robotics". 58:630–638.
.
2010. Maschinelles Lernen und lernende Assistenzsysteme - Neue Tätigkeiten, Rollen und Anforderungen für Beschäftigte? Berufsbildung in Wissenschaft und Praxis – BWP. 3:14-18.
.
2019. Local structural stability of recurrent networks with time-varying weights. Neurocomputing. 48:39–51.
.
2002. Let's Work Together: A Meta-Analysis on Robot Design Features that Enable Successful Human–Robot Interaction at Work. Human Factors.
.
2020. Lessons Learned from Investigating Robotics-Based, Human-like Testing of an Upper-Body Exoskeleton . Applied Sciences. 14(6)
.
2024. Learning Robot Motions with Stable Dynamical Systems under Diffeomorphic Transformations. Robotics and Autonomous Systems. 70:1–15.
.
2015. Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions. IEEE Trans. Neural Networks. 17:843–862.
.
2006. Learning Inverse Statics Models Efficiently with Symmetry-Based Exploration. Frontiers in Neurorobotics.
.
2018. Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. Neurocomputing. 112:179–188.
.
2013. Intrinsic Plasticity via Natural Gradient Descent with Application to Drift Compensation. Neurocomputing. 112:26–33.
.
2013. Interest-Driven Exploration with Observational Learning for Developmental Robots. IEEE Transactions on Cognitive and Developmental Systems .
.
2021. Interactive Imitation Learning of Object Movement Skills. Autonomous Robots. 32:97–114.
.
2012. Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing. 74:1372–1381.
.
2011. Input Space Bifurcation Manifolds of Recurrent Neural Networks. Neurocomputing. 64:25–38.
.
2005. Improving reservoirs using intrinsic plasticity. Neurocomputing. 71:1159–1171.
.
2008. Impedance-based Physical Human-Multi-Robot Collaboration. International Journal of Robotics Research.
.
2021. .
2017. Humans and Humanoids - Perspectives on Research in Cognition and Robotics. KI - Künstliche Intelligenz. 4:33–36.
.
2008. How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project. KI- Künstliche Intelligenz. 26:407–410.
.
2012. Goal-Related Feedback Guides Motor Exploration and Redundancy Resolution in Human Motor Skill Acquisition. PLOS Computational Biology. 15(3):1-27.
.
2019. Goal Babbling permits direct learning of inverse kinematics. IEEE Trans. Autonomous Mental Development. 2:216–229.
.
2010. Explorative learning of right inverse functions: theoretical implications of redundancy. Neurocomputing. 131:2-14.
.
2013. Estimating Tip Contact Forces for Concentric Tube Continuum Robots based on Backbone Deflection. IEEE Transactions on Medical Robotics and Bionics. 2(4):619-630.
.
2020. Efficient Policy Search in Low-dimensional Embedding Spaces by Generalizing Motion Primitives with a Parameterized Skill Memory. Autonomous Robots. 38:331–348.
.
2015.