Biblio
Why Criteria of Decision Fairness Should be Considered in Robot Design. Workshop Robots in Groups and Teams at ACM Conference on Computer Supported Cooperative Work and Social Computing.
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2017. Adaptive scene dependent filters for segmentation and online learning of visual objects. Neurocomputing. 70:1235–1246.
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2007. Analytical Inverse Kinematics Solver for Anthropomorphic 7-DOF Redundant Manipulators with Human-Like Configuration Constraints. Journal of Intelligent & Robotic Systems. 86(1):63-79.
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2017. Analyzing the weight dynamics of recurrent learning algorithms. Neurocomputing. 63:5–23.
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2005. Bootstrapping of Parameterized Skills Through Hybrid Optimization in Task and Policy Spaces. Frontiers in Robotics and AI, section Humanoid Robotics. 5
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2018. A Competitive Layer Model for Feature Binding and Sensory Segmentation. Neural Computation. 13:357–387.
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2001. Compliant Humanoids Moving Toward Rehabilitation Applications. Robotics and Automation Magazin. 26(4):83-93.
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2019. A constrained regularization approach for input-driven recurrent neural networks. Differential Equations and Dynamical Systems. 19:27–46.
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2011. Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Transactions on Neural Networks and Learning Systems. 27:1–7.
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2016. Editorial Special Corner on Cognitive Robotics. Cognitive Processing. 12:317–318.
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2011. Efficient exploratory learning of inverse kinematics on a bionic elephant trunk. IEEE Trans. Neural Networks and Learning Systems. 25:1147–1160.
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2014. Efficient Online Interest-Driven Exploration for Developmental Robots. IEEE Trans. Cognitive and Developmental Systems. 14 (4):1367-1377.
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2022. 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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2015. Estimating Tip Contact Forces for Concentric Tube Continuum Robots based on Backbone Deflection. IEEE Transactions on Medical Robotics and Bionics. 2(4):619-630.
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2020. Explorative learning of right inverse functions: theoretical implications of redundancy. Neurocomputing. 131:2-14.
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2013. Goal Babbling permits direct learning of inverse kinematics. IEEE Trans. Autonomous Mental Development. 2:216–229.
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2010. Goal-Related Feedback Guides Motor Exploration and Redundancy Resolution in Human Motor Skill Acquisition. PLOS Computational Biology. 15(3):1-27.
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2019. How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project. KI- Künstliche Intelligenz. 26:407–410.
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2012. Humans and Humanoids - Perspectives on Research in Cognition and Robotics. KI - Künstliche Intelligenz. 4:33–36.
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2008. .
2017. Impedance-based Physical Human-Multi-Robot Collaboration. International Journal of Robotics Research.
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2021. Improving reservoirs using intrinsic plasticity. Neurocomputing. 71:1159–1171.
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2008. Input Space Bifurcation Manifolds of Recurrent Neural Networks. Neurocomputing. 64:25–38.
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2005. Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing. 74:1372–1381.
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2011. Interactive Imitation Learning of Object Movement Skills. Autonomous Robots. 32:97–114.
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2012.