Biblio
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2022. Efficient Online Interest-Driven Exploration for Developmental Robots. IEEE Trans. Cognitive and Developmental Systems. 14 (4):1367-1377.
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2014. 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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2011. Editorial Special Corner on Cognitive Robotics. Cognitive Processing. 12:317–318.
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2016. 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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2011. A constrained regularization approach for input-driven recurrent neural networks. Differential Equations and Dynamical Systems. 19:27–46.
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2019. Compliant Humanoids Moving Toward Rehabilitation Applications. Robotics and Automation Magazin. 26(4):83-93.
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2001. A Competitive Layer Model for Feature Binding and Sensory Segmentation. Neural Computation. 13:357–387.
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2018. 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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2005. Analyzing the weight dynamics of recurrent learning algorithms. Neurocomputing. 63:5–23.
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2017. 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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2007. Adaptive scene dependent filters for segmentation and online learning of visual objects. Neurocomputing. 70:1235–1246.
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2017. 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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2011. What do humanoid robots offer to experimental psychology ? Connectionist models of neurocognition and emergent behavior : from theory to applications ; proceedings of the 12th Neural Computation and Psychology Workshop, Birkbeck, University of London, 8 - 10 April 2010. 20:361–371.
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2003. On the weight dynamcis of recurrent learning. Proc. European Symposium Artificial Neural Networks. :73–78.
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2016. Vertical Integration and Service Orchestration for Modular Production Systems using Business Process Models. Procedia Technologica. 26:259–266.
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2022. Variable Stiffness Actuator Control Based on Linear Model Predictive Control in a Low Stiffness Regime. Int. Symposium on Robotics . :117-122.
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2012. Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing. :1427–1433.
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2017. A User Study on Personalized Adaptive Stiffness Control Modes for Human-Robot Interaction. 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), p 831-837.
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2017. A User Study on Human-Robot-Interactive Recovery for Industrial Assembly Problems. 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), p. 824-830.
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2006. Unsupervised Clustering of Continuous Trajectories of Kinematic Trees with SOM-SD. Proc. European Symposium on Artificial Neural Networks.
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2016. Trajectory Optimization of COmpliant HuMANoid (COMAN) Robot Arm using Path Parameter based Dynamic Programming. Proc. IEEE Humanoids. :705–710.
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2016. Time Series Classification in Reservoir- and Model-Space: A Comparison. Proc. 7th IAPR Workshop on Artificial Neural Networks in Pattern Recognition.
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2010. teutolab-robotik - Hands-On Teaching of Human-Robot Interaction. Proc. Int. Conf. on SIMULATION, MODELING and PROGRAMMING for AUTONOMOUS ROBOTS, Workshop on "Teaching Robotics-Teaching with Robotics". :474–483.
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2012. Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing. International Conference on Robotics and Automation. :1868–1875.
