Biblio

Found 232 results
Author Title Type [ Year(Asc)]
Filters: Author is Jochen J. Steil  [Clear All Filters]
2009
Wischnewski M, Steil JJ, Kehrer L, Schneider WX.  2009.  Integrating Inhomogeneous Processing and Proto-object Formation in a Computational Model of Visual Attention. Human Centered Robot Systems: Cognition, Interaction, Technology. :93–102.
Denecke A, Wersing H, Steil JJ, Körner E.  2009.  Online figure-ground segmentation with adaptive metrics in Generalized LVQ. Neurocomputing. 72:1470–1482.
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.
Hammer B, Schrauwen B., Steil JJ.  2009.  Recent advances in efficient learning of recurrent networks. European Symposium on Artificial Neural Networks. :213–226.
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.
Ritter H, Haschke R, Steil JJ.  2009.  Trying to Grasp a Sketch of a Brain for Grasping. Creating Brain-Like Intelligence. :84–102.
2008
Pardowitz M, Haschke R, Steil JJ, Ritter H.  2008.  Gestalt-Based Action Segmentation for Robot Task Learning. IEEE-RAS 7th International Conference on Humanoid Robots (HUMANOIDS). :347–352.
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.
Schrauwen B, Wardermann M, Verstraeten D, Steil JJ, Stroobandt D.  2008.  Improving reservoirs using intrinsic plasticity. Neurocomputing. 71:1159–1171.
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.
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.
2007
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.
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.
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E.  2007.  Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture. International Conference on Computer Vision Systems.
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E.  2007.  Online Learning of Objects in a Biologically Motivated Visual Architecture. International Journal of Neural Systems. 17:219–230.
Steil JJ.  2007.  Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. Neural Networks. 20:353–364.
Röthling F, Haschke R, Steil JJ, Ritter H.  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.
2006
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.
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E.  2006.  A biologically motivated system for unconstrained online learning of visual objects. Proc. of the Int. Conf. on Artificial Neural Networks (ICANN). 2:508–517.
Klanke S, Lebedev DV, Haschke R, Steil JJ, Ritter H.  2006.  Dynamic Path Planning for a 7-DOF Robot Arm. Int. Conf. Intelligent Robots and Systems. :3879–3884.
Ritter H, Weng S, Ontrup J, Steil JJ.  2006.  Gestalt Formation in a Competitive Layered Neural Architecture. Networks: From Biology to Theory. :163–191.
Weng S, Wersing H, Steil JJ, Ritter H.  2006.  Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions. IEEE Trans. Neural Networks. 17:843–862.
Steil JJ.  2006.  Online stability of backpropagation-decorrelation recurrent learning. Neurocomputing. 69:642–650.
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.
2005
Schiller UD, Steil JJ.  2005.  Analyzing the weight dynamics of recurrent learning algorithms. Neurocomputing. 63:5–23.

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