Biblio
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2008. Recurrent neural associative learning of forward and inverse kinematics for movement generation of the redundant PA-10 robot. Int. Symp. Learning Adaptive Behavior in Robotic Systems, best paper award. 1:35–40.
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1999. Recurrent Learning of Input-Output Stable Behaviour in Function Space: A Case Study with the Roessler Attractor. Proc. Int. Conf. Artificial Neural Networks. :761–766.
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2010. Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. Proc. Int. Conf. Artificial Neural Networks. :148–153.
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2018. Recovering from Assembly Errors by Exploiting Human Demonstrations. 51st CIRP Conference on Manufacturing Systems.
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2009. Recent advances in efficient learning of recurrent networks. European Symposium on Artificial Neural Networks. :213–226.
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2021. Real-Time Shape Estimation for Concentric Tube Continuum Robots with a Single Force/Torque-Sensor. Frontiers in Robotics and AI -- Soft Robotics.
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2018. Real-time Control of Whole-body Robot Motion and Trajectory Generation for Psychotherapeutic Juggling in VR. IROS 2018.
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2003. Real Time Path Planning in Dynamic Environment: a Comparison of Three Neural Network Models. Proc. IEEE Int. Conf. Systems, Man, and Cybernetics. :3408–3413.
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2019. Reactive Walking Based on Upper-Body Manipulability: An application to Intention Detection and Reaction. ICRA.
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2009. Reaching movement generation with a recurrent neural network based on learning inverse kinematics for the humanoid robot iCub. IEEE Conf. Humanoid Robotics. :323–330.
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2013. Rare neural correlations implement robotic conditioning with reward delays and disturbances. Frontiers in Neurorobotics. 7:6.
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2019. Plug, Plan and Produce as Enabler for easy Workcell Setup and Collaborative Robot Programming in Smart Factories. KI - Künstliche Intelligenz. 33(Special Issue: Smart Production 2):151–161.
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2007. Platform Portable Anthropomorphic Grasping with the Bielefeld 20-DOF Shadow and 9-DOF TUM Hand. Proc. Int. Conf. on Intelligent Robots and Systems (IROS). :2951–2956.
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2002. Perspectives on Learning with Recurrent Neural Networks. Proc. European Symposium Artificial Neural Networks. :357–368.
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2021. A Perspective onto the Structure of Motions from the Viewpoint of Dualization. Geometry and Topology in Robotics: Learning, Optimization, Planning, and Control / RSS Workshop.
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2016. Parameterized Pattern Generation via Regression in the Model Space of Echo State Networks. Proceedings of the Workshop on New Challenges in Neural Computation.
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2013. Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity. Neurocomputing. 102:23–30.
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2015. Open-source benchmarking for learned reaching motion generation in robotics. Paladyn, Journal of Behavioral Robotics. 6:30–41.
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2018. An Open-Source Architecture for Simulation, Execution and Analysis of Real-Time Robotics Systems. SIMPAR.
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2010. OOP: Object-Oriented-Priority for Motion Saliency Maps. Workshop on Brain Inspired Cognitive Systems. :370–381.
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2006. Online stability of backpropagation-decorrelation recurrent learning. Neurocomputing. 69:642–650.
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2007. Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. Neural Networks. 20:353–364.
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2005. An on-line neural network-based approach to dynamic path planning and coordination of two robot arms. Proc. Int. Conf. Intelligent Robotis and Systems. :2411–2416.
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2007. Online Learning of Objects in a Biologically Motivated Visual Architecture. International Journal of Neural Systems. 17:219–230.
