Biblio

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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.
Rolf M, Gienger M, Steil JJ.  2013.  Robot control with bootstrapping inverse kinematics.
Gienger M, Muehlig M, Steil JJ.  2011.  Robot with automatic selection of task-specific representations for imitation learning. European Patent Office.
Steil JJ.  In Press.  Roboterlernen ohne Grenzen ? Lernende Roboter und ethische Fragen Christiane Woopen, Marc Jannes [Hrsg.] Roboter in der Gesellschaft. Technische Möglichkeiten und menschliche Verantwortung.
Steil JJ, Maier GW.  2017.  Robots in the digitalized workplace. The Wiley Blackwell Handbook of the Psychology of the Internet at Work. :403-422.
Vollmer A-L, Mühlig M, Steil JJ, Pitsch K, Fritsch J, Rohlfing K, Wrede B.  2014.  Robots show us how to teach them: Feedback from robots shapes tutoring behavior during action learning. PLoS ONE. 9:e91349.
Steil JJ.  2000.  Robust control in closed loops realised by fast signal transmission of infinite gain neurons. Proc. Int. Conf. Artificial Neural Networks. 1:260–266.
Denecke A, Wersing H, Steil JJ, Körner E.  2008.  Robust object segmentation by adaptive metrics in Generalized LVQ. Proc. of the European Symposium on Artificial Neural Networks (ESANN). :319–324.
Kubus D, Muxfeldt A, Kissener K, Haus JNiklas, Steil JJ.  2017.  Robust Recognition of Tactile Gestures for Intuitive Robot Programming. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017).
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Lemme A, Reinhart F, Steil JJ.  2014.  Semi-supervised Bootstrapping of a Movement Primitive Library from Complex Trajectories. :726–732.
Steil JJ, Röthling F, Haschke R, Ritter H.  2004.  Situated robot learning for multi-modal instruction and imitation of grasping. Robotics and Autonomous Systems. 47:129–141.
Soltoggio A, Steil JJ.  2013.  Solving the distal reward problem with rare correlations. Neural Computation. 25:940–978.
Steil JJ.  2005.  Stability of backpropagtion-decorrelation efficient O(N) recurrent learning. Proc. European Symposium Artificial Neural Networks. :43–48.
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.
Junger I.B, Steil JJ.  2003.  Static Sliding Mode Phenomena in Dynamical Systems. IEEE Trans. Automatic Control. 48:680–686.
Rüther S, Hermann T, Mracek M, Kopp S, Steil JJ.  2013.  Supporting Workers and Quality Management in Sterilization Departments. Ambient Intelligence - Software and Applications. 219:229–236.
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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.
Muehlig M, Gienger M, Hellbach S, Steil JJ, Goerick C.  2009.  Task-level Imitation Learning using Variance-based Movement Optimization. IEEE International Conference on Robotics and Automation. :1177–1184.
Haschke R, Steil JJ, Steuwer I, Ritter H.  2005.  Task-Oriented Quality Measures for Dextrous Grasping. Proc. Conference on Computational Intelligence in Robotics and Automation. :689–694.
Nordmann A, Emmerich C, Rüther S, Lemme A, Wrede S, Steil JJ.  2012.  Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing. International Conference on Robotics and Automation. :1868–1875.
Weirich A, Schueler S, Haumann C, Steil JJ.  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.
Aswolinskiy W, Reinhart F, Steil JJ.  2017.  Time Series Classification in Reservoir- and Model-Space. Neural Processing Letters.
Aswolinskiy W, Reinhart F, Steil JJ.  2016.  Time Series Classification in Reservoir- and Model-Space: A Comparison. Proc. 7th IAPR Workshop on Artificial Neural Networks in Pattern Recognition.
Shareef Z, Steil JJ.  2016.  Trajectory Optimization of COmpliant HuMANoid (COMAN) Robot Arm using Path Parameter based Dynamic Programming. Proc. IEEE Humanoids. :705–710.
Steil JJ, Cawley GC, Villmann T.  2005.  Trends in Neurocomputing at ESANN 2004. Neurocomputing. 64:1–4.

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