Biblio

Found 213 results
Author [ Title(Desc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
I
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.
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.
Steffen JFrederik, Pardowitz M, Steil JJ, Ritter H.  2011.  Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing. 74:1372–1381.
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.
Steil JJ, Wrede S.  2012.  Intelligent Interfaces between Humans and Technology. 22:2.
Muehlig M, Steil JJ, Gienger M..  2012.  Interactive Imitation Learning of Object Movement Skills. Autonomous Robots. 32:97–114.
Wrede S, Johannfunke M, Lemme A, Nordmann A, Rüther S, Weirich A, Steil JJ.  2010.  Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks. Proc. 20. Workshop on Computational Intelligence.
Emmerich C, Nordmann A, Swadzba A, Wrede S, Steil JJ.  2012.  Interactive Learning of Inverse Kinematics with Null-space Constraints using Recurrent Neural Networks.
Neumann K, Steil JJ.  2012.  Intrinsic Plasticity via Natural Gradient Decent. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012). Proceedings. :555–560.
Neumann K, Strub C, Steil JJ.  2013.  Intrinsic Plasticity via Natural Gradient Descent with Application to Drift Compensation. Neurocomputing. 112:26–33.
K
Muxfeldt A, Kluth J-H, Kubus D.  2014.  Kinesthetic Teaching in Assembly Operations – A User Study. Simulation, Modeling, and Programming for Autonomous Robots: 4th International Conference, SIMPAR 2014, Bergamo, Italy, October 20-23, 2014. Proceedings. :533–544.
Lemme A, Freire A, Barreto G, Steil JJ.  2013.  Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. Neurocomputing. 112:179–188.
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.
L
Wersing H, Steil JJ, Ritter H.  1997.  A Layered Recurrent Neural Network for Feature Grouping. Int. Conf. on Artificial Neural Networks. :439–444.
Malekzadeh MS, Calinon S, Bruno D, Caldwell DG.  2014.  Learning by Imitation with the STIFF-FLOP Surgical Robot: A Biomimetic Approach Inspired by Octopus Movements.
Weng S., Steil JJ.  2003.  Learning Compatibitlity Functions for Feature Binding and Perceptual Grouping. Proc. of Int. Conference Artificial Neural Networks. LNCS 2714:60–67.
Rolf M, Steil JJ, Gienger M.  2010.  Learning Flexible Full Body Kinematics for Humanoid Tool Use. Int. Symp. Learning and Adaptive Behavior in Robotic Systems (Best Paper Award). :171–176.
Malekzadeh M, Queißer J, Steil JJ.  2015.  Learning from demonstration for Bionic Handling Assistant robot.
Alizadeh T, Malekzadeh MS, Barzegari S..  2016.  Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression. 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).
Neumann K, Rolf M, Steil JJ, Gienger M.  2010.  Learning Inverse Kinematics for Pose-Constraint Bi-Manual Movements. From Animals to Animats 11. 11th International Conference on Simulation of Adaptive Behavior, SAB 2010. Proceedings. 6226
Rayyes R, Kubus D, Hartmann C, Steil J.  2017.  Learning Inverse Statics Models Efficiently. arXiv.
Weirich A, Haumann C, Steil JJ, Schüler S..  2011.  Learning Lab - Physical Interaction with Humanoid Robots for Pupils. Proc. Robotics in Education. :21–28.

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