Biblio

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Steil JJ, Maier GW.  2017.  Robots in the digitalized workplace. The Wiley Blackwell Handbook of the Psychology of the Internet at Work. :403-422.
Steil JJ, Krüger S.  2013.  Lernen und Sicherheit in Interaktion mit Robotern aus Maschinensicht. Robotik und Gesetzgebung. 2:51–71.
Steil JJ, Emmerich C, Swadzba A, Grünberg R, Nordmann A, Wrede S.  2013.  Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Confined Spaces. Gearing Up and Accelerating Cross-Fertilization between Academic and Industrial Robotics Research in Europe. 94:107–127.
Steil JJ, Wrede S.  2012.  Intelligent Interfaces between Humans and Technology. 22:2.
Steil JJ.  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.
Steil JJ, Sagerer G, Ritter H, Körner E.  2008.  Humans and Humanoids - Perspectives on Research in Cognition and Robotics. KI - Künstliche Intelligenz. 4:33–36.
Steil JJ, Götting M, Wersing H, Körner E, Ritter H.  2007.  Adaptive scene dependent filters for segmentation and online learning of visual objects. Neurocomputing. 70:1235–1246.
Steil JJ.  2007.  Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. Neural Networks. 20:353–364.
Steil JJ, Kõiva R, Sperduti A.  2006.  Unsupervised Clustering of Continuous Trajectories of Kinematic Trees with SOM-SD. Proc. European Symposium on Artificial Neural Networks.
Steil JJ.  2006.  Online stability of backpropagation-decorrelation recurrent learning. Neurocomputing. 69:642–650.
Steil JJ.  2005.  Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning. LNCS. 3697:649–654.
Steil JJ, Cawley GC, Villmann T.  2005.  Trends in Neurocomputing at ESANN 2004. Neurocomputing. 64:1–4.
Steil JJ.  2005.  Stability of backpropagtion-decorrelation efficient O(N) recurrent learning. Proc. European Symposium Artificial Neural Networks. :43–48.
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.
Steil JJ.  2004.  Backpropagation-Decorrelation: online recurrent learning with O(N) complexity. Proc. Int. Joint Conference Neural Networks. 1:843–848.
Steil JJ.  2004.  Neural Dynamics for Task-Oriented Grouping of Communicating Agents. Proc. European Symposium Artificial Neural Networks. :531–536.
Steil JJ.  2002.  Local structural stability of recurrent networks with time-varying weights. Neurocomputing. 48:39–51.
Steil JJ, Heidemann G, Jockusch J, Rae R, Jungclaus N, Ritter H.  2001.  Guiding Attention for Grasping Tasks by Gestural Instruction: The GRAVIS-Robot Architecture. Proc. Int. Conf. Intelligent Robots and Sytems. :1570–1577.
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.
Steil JJ.  2000.  Local input-output stability of recurrent networks with time-varying weights. Proc. European Symposium Artificial Neural Networks. :281–286.
Steil JJ, Ritter H.  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.
Steil JJ, Ritter H.  1999.  Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation. Proc. European Symposium Artificial Neural Networks. :369–374.
Steil JJ.  1999.  Input-Output Stability of Recurrent Neural Networks.
Steil JJ, Ritter H.  1998.  Input-Output Stability of Recurrent Neural Networks with Delays using Circle Criteria. Proc. Int. ICSC/IFAC Symposium on Neural Computation. :519–525.