Biblio

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Reinhart F, Steil JJ.  2012.  Learning Whole Upper Body Control with Dynamic Redundancy Resolution in Coupled Associative Radial Basis Function Networks. IROS. :1487–1492.
Reinhart F, Steil JJ.  2011.  Neural learning and dynamical selection of redundant solutions for inverse kinematic control. Proc. IEEE Int. Conf. Humanoid Robots. :564–569.
Reinhart F, Steil JJ.  2016.  Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.
Reinhart F, Steil JJ.  2011.  Reservoir regularization stabilizes learning of Echo State Networks with output feedback. Proc. European Symposium on Artificial Neural Networks. :59–64.
Reinhart F, Steil JJ.  2009.  Goal-directed movement generation with a transient-based recurrent neural network controller. Advanced Technologies for Enhanced Quality of Life. :112–117.
Reinhart F, Steil JJ.  2011.  State prediction: a constructive method to program recurrent neural networks. Artificial Neural Networks and Machine Learning – ICANN 2011 : 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I. 6791:159–166.
Reinhart F, Steil JJ.  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.
Reinhart F, Lemme A, Steil JJ.  2012.  Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching. IEEE-RAS International Conference on Humanoid Robots. :560–567.
Reinhart F, Steil JJ.  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.
Reinhart F, Steil JJ.  2015.  Efficient Policy Search in Low-dimensional Embedding Spaces by Generalizing Motion Primitives with a Parameterized Skill Memory. Autonomous Robots. 38:331–348.
Reinhart F, Steil JJ.  2012.  Regularization and stability in reservoir networks with output feedback. Neurocomputing. 90:96–105.
Reinhart F, Steil JJ, Huntsberger TL, Stoica A.  2010.  Tacking reduces bow-diving of high-speed unmanned sea surface vehicles. Int. Symp. Learning and Adaptive Behavior in Robotic Systems. :177–182.
Reinhart F, Steil JJ.  2011.  A constrained regularization approach for input-driven recurrent neural networks. Differential Equations and Dynamical Systems. 19:27–46.
Richter O, Reinhart F, Nease S, Steil JJ, Chicca E.  2015.  Device Mismatch in a Neuromorphic System Implements Random Features for Regression. Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. :1–4.
Ritter H, Haschke R, Röthling F, Steil JJ.  2011.  Manual Intelligence as a Rosetta Stone for Robot Cognition. Robotics Research. 66:135–146.
Ritter H, Weng S, Ontrup J, Steil JJ.  2006.  Gestalt Formation in a Competitive Layered Neural Architecture. Networks: From Biology to Theory. :163–191.
Ritter H, Haschke R, Steil JJ.  2007.  A Dual Interaction Perspective for Robot Cognition: Grasping as a "Rosetta Stone". Perspectives of Neural-Symbolic Integration. :159–178.
Ritter H, Steil JJ, Nölker C, Röthling F, McGuire PC.  2003.  Neural Architectures for Robotic Intelligence. Reviews in the Neurosciences. 14:121–143.
Ritter H, Haschke R, Steil JJ.  2009.  Trying to Grasp a Sketch of a Brain for Grasping. Creating Brain-Like Intelligence. :84–102.
Ritter H, Steil JJ, Sagerer G.  2010.  Mit Kopf, Körper und Hand: Herausforderungen Humanoider Roboter. Automatisierungstechnik, special issue on "humnoid robotics". 58:630–638.
Rolf M, Steil JJ.  2013.  Explorative learning of right inverse functions: theoretical implications of redundancy. Neurocomputing.
Rolf M, Steil JJ, Gienger M.  2010.  Mastering Growth while Bootstrapping Sensorimotor Coordination. Int. Conf. on Epigenetic Robotics.
Rolf M, Neumann K, Queißer J, Reinhart F, Nordmann A, Steil JJ.  2015.  A Multi-Level Control Architecture for the Bionic Handling Assistant. Advanced Robotics. 29:847–859.
Rolf M, Steil JJ, Gienger M.  2010.  Bootstrapping inverse Kinematics with Goal Babbling. :147–154.
Rolf M, Steil JJ.  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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