Biblio

Found 213 results
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Emmerich C, Reinhart F, Steil JJ.  2010.  Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. Proc. Int. Conf. Artificial Neural Networks. :148–153.
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Fink GA, Fritsch J, Leßmann N, Ritter H, Sagerer G, Steil JJ, Wachsmuth I.  2003.  Architekturen situierter Kommunikatoren: Von Perzeption über Kognition zum Lernen. Informatik 2003 - Innovative Informatikanwendungen. 2:29–44.
Freire A, Lemme A, Steil JJ, Baretto G.  2012.  Learning visuo-motor coordination for pointing without depth calculation. Proc. European Symposium on Artificial Neural Networks. :91–96.
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Gienger M, Muehlig M, Steil JJ.  2011.  Robot with automatic selection of task-specific representations for imitation learning. European Patent Office.
Gienger M, Muehlig M, Steil JJ.  2010.  Imitating object movement skills with robots — A task-level approach exploiting generalization and invariance. The IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems : Conference Proceedings. :1262–1269.
Gienger M, Steil JJ.  2018.  Humanoid Kinematics and Dynamics: Open Questions and Future Directions. Humanoid Robotics: A Reference. :893-902.
Gopinathan S, Ötting S, Steil JJ.  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.
Gopinathan S, Mohammadi P, Steil JJ.  2018.  Improved Human-Robot Interaction: A manipulability based approach. ICRA 2018 Workshop on Ergonomic Physical Human-Robot Collaboration.
Gopinathan S, Ötting S, Steil JJ.  2017.  A user study on personalized stiffness control and task specificity in physical Human-Robot Interaction. Frontiers in Robotics and AI -- Humanoid Robotics.
Götting M, Steil JJ, Wersing H, Körner E, Ritter H.  2006.  Adaptive scene-dependent filters in online learning environments. New issues in neurocomputing. 13th European Symposium on Artificial Neural Networks 2005. :101–106.
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Hammer B, Schrauwen B., Steil JJ.  2009.  Recent advances in efficient learning of recurrent networks. European Symposium on Artificial Neural Networks. :213–226.
Hammer B, Steil JJ.  2002.  Perspectives on Learning with Recurrent Neural Networks. Proc. European Symposium Artificial Neural Networks. :357–368.
Haschke R, Steil JJ, Ritter H.  2001.  Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. Artificial Neural Networks - ICANN 2001. 2130:1109–1114.
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.
Haschke R, Steil JJ.  2005.  Input Space Bifurcation Manifolds of Recurrent Neural Networks. Neurocomputing. 64:25–38.
Haschke R, Steil JJ.  2004.  Input Space Bifurcation Manifolds of RNNs. Proc. European Symposium Artificial Neural Networks. :13–19.
He H, Chawla N, Chen H, Choe Y, Engelbrecht A, Deva J, Long L, Minai A, Nie F, Ozertem U et al..  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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Jipp M, Steil JJ.  In Press.  Steuern wir oder werden wir gesteuert? Chancen und Risiken von Mensch-Technik-Interaktion R. Haux, K. Gahl, M. Jipp, R. Kruse, O. Richter (Hrsg.): Zusammenwirken von natürlicher und künstlicher Intelligenz.
Junger I.B, Steil JJ.  2003.  Static Sliding Mode Phenomena in Dynamical Systems. IEEE Trans. Automatic Control. 48:680–686.

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