Biblio

Found 251 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 
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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.
Reinhart F, Steil JJ.  2012.  Learning Whole Upper Body Control with Dynamic Redundancy Resolution in Coupled Associative Radial Basis Function Networks. IROS. :1487–1492.
Steil JJ, Krüger S.  2013.  Lernen und Sicherheit in Interaktion mit Robotern aus Maschinensicht. Robotik und Gesetzgebung. 2:51–71.
Shareef Z, Ahmed A.  2011.  LMI BASED Anti-Windup Controller Designing for Ball and Beam Control System. International Bhurban Conference on Applied Sciences and Technology.
Steil JJ.  2000.  Local input-output stability of recurrent networks with time-varying weights. Proc. European Symposium Artificial Neural Networks. :281–286.
Steil JJ.  2002.  Local structural stability of recurrent networks with time-varying weights. Neurocomputing. 48:39–51.
Testarossa T..  1999.  Lorem ipsum dolor sit amet.
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Ritter H, Haschke R, Röthling F, Steil JJ.  2011.  Manual Intelligence as a Rosetta Stone for Robot Cognition. Robotics Research. 66:135–146.
Reinhart F, Neumann K, Aswolinskiy W, Steil JJ, Hammer B.  2018.  Maschinelles Lernen in technischen Systemen. Steigerung der Intelligenz mechatronischer Systeme. :pp.73-118.
Steil JJ, Wrede S.  2019.  Maschinelles Lernen und lernende Assistenzsysteme - Neue Tätigkeiten, Rollen und Anforderungen für Beschäftigte? Berufsbildung in Wissenschaft und Praxis – BWP. 3:14-18.
Rolf M, Steil JJ, Gienger M.  2010.  Mastering Growth while Bootstrapping Sensorimotor Coordination. Int. Conf. on Epigenetic Robotics.
Haus J.N, Muxfeldt A., Kubus D..  2016.  Material comparison and design of low cost modular tactile surface sensors for industrial manipulators. 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).
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.  2005.  Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning. LNCS. 3697:649–654.
Ritter H, Steil JJ, Sagerer G.  2010.  Mit Kopf, Körper und Hand: Herausforderungen Humanoider Roboter. Automatisierungstechnik, special issue on "humnoid robotics". 58:630–638.
Shareef Z, Ahmed A, Iqbal N.  2013.  Mixed sensitivity based dynamical Anti-Windup Compensator design using LMI: An application to constrained hot air blower system. IEEE XXIV International Symposium on Information, Communication and Automation Technologies.
Seidel D, Emmerich C, Steil JJ.  2014.  Model-free Path Planning for Redundant Robots using Sparse Data from Kinesthetic Teaching. Proc. of the Int. Conference on Intelligent Robots and Systems (IROS). :4381–4388.
Dehio N, Smith J, Wigand D, Xin G, Lin H-C, Steil JJ, Mistry M.  2018.  Modeling & Control of Multi-Arm and Multi-Leg Robots: Compensating for Object Dynamics during Grasping. Int. Conf. Robotics and Automation.
Nordmann A, Wrede S, Steil JJ.  2015.  Modeling of Movement Control Architectures based on Motion Primitives using Domain-Specific Languages.
Aswolinskiy W, Reinhart F, Steil JJ.  2016.  Modelling of Parameterized Processes via Regression in the Model Space. Proceedings of 24th European Symposium on Artificial Neural Networks. :53–58.
Aswolinskiy W, Reinhart F, Steil JJ.  2017.  Modelling of Parametrized Processes via Regression in the Model Space of Neural Networks. Neurocomputing. 268(C):55-63.
Wrede S, Wojtynek M, Steil JJ, Beyer O, Frobieter C, Franke V.  2016.  Modulare Fertigungslinien für die individualisierte Produktion. Werkstattstechnik online.
Lemme A, Meirovitch Y, Khansari-Zadeh SMohammad, Flash T, Billard A, Steil JJ.  2014.  Multi-criteria benchmarking of movement generating dynamical systems for learning-from-demonstrations.
Emmerich C, Reinhart F, Steil JJ.  2013.  Multi-directional Continuous Association with Input-driven Neural Dynamics. Neurocomputing (Special Issue ESANN 2012). 112:47–57.
Malekzadeh M, Queißer J, Steil JJ.  2019.  Multi-level control architecture for Bionic Handling Assistant robot augmented by learning from demonstration for apple-picking. Advanced Robotics. :1-17.

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