Biblio

Found 168 results
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Search results for Steil
Filters: Author is Steil, Jochen J.  [Reset Search]
2010
Belardinelli A, Schneider WX, Steil JJ.  2010.  OOP: Object-Oriented-Priority for Motion Saliency Maps. Workshop on Brain Inspired Cognitive Systems. :370–381.
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.
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.
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.
Wischnewski M, Belardinelli A, Schneider WX, Steil JJ.  2010.  Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention Cognitive Computation. 2:326–343.
2009
Wersing H, Götting M, Steil JJ.  2009.  Adaptive scene dependent filters in online learning environments.
Reinhart F, Steil JJ.  2009.  Attractor-based computation with reservoirs for online learning of inverse kinematics. European Symposium Artificial Neural Networks (ESANN). :257–262.
Muehlig M, Gienger M, Steil JJ, Goerick C.  2009.  Automatic Selection of Task Spaces for Imitation Learning. IEEE International Conference on Intelligent Robots and Systems. :4996–5002.
Rolf M, Steil JJ, Gienger M.  2009.  Efficient exploration and learning of whole body kinematics. IEEE 8th International Conference on Development and Learning. :1–7.
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.
Denecke A, Wersing H, Steil JJ, Körner E.  2009.  Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQ. International Workshop on Self-Organizing Maps (WSOM). :45–53.
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.

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