Biblio

Found 225 results
[ Author(Desc)] Title 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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Soltoggio A, Steil JJ.  2012.  How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project. KI- Künstliche Intelligenz. 26:407–410.
Spröwitz A, Tuleu A, Ajaoolleian M, Vespignani M, Moeckel R, Eckert P, D'Haene M, Degrave J, Nordmann A, Schrauwen B et al..  2018.  Oncilla robot: a versatile open-source quadruped research robot with compliant pantograph legs. arxiv.org.
Steffen JFrederik, Pardowitz M, Steil JJ, Ritter H.  2010.  Neural competition for motion segmentation. 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). :59–64.
Steffen JFrederik, Pardowitz M, Steil JJ, Ritter H.  2011.  Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing. 74:1372–1381.
Steil JJ.  2004.  Neural Dynamics for Task-Oriented Grouping of Communicating Agents. Proc. European Symposium Artificial Neural Networks. :531–536.
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, 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.  2004.  Backpropagation-Decorrelation: online recurrent learning with O(N) complexity. Proc. Int. Joint Conference Neural Networks. 1:843–848.
Steil JJ.  2000.  Local input-output stability of recurrent networks with time-varying weights. Proc. European Symposium Artificial Neural Networks. :281–286.
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.  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, 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.
Steil JJ.  2006.  Online stability of backpropagation-decorrelation recurrent learning. Neurocomputing. 69:642–650.
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.  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, Krüger S.  2013.  Lernen und Sicherheit in Interaktion mit Robotern aus Maschinensicht. Robotik und Gesetzgebung. 2:51–71.
Steil JJ.  1999.  Input-Output Stability of Recurrent Neural Networks.
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, 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, 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, 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, Cawley GC, Villmann T.  2005.  Trends in Neurocomputing at ESANN 2004. Neurocomputing. 64:1–4.
Steil JJ, Maier GW.  In Press.  Kollaborative Roboter – universale Werkzeuge in der digitalisierten und vernetzten Arbeitswelt. Handbuch Gestaltung digitaler und vernetzter Arbeitswelten.
Steil JJ.  2002.  Local structural stability of recurrent networks with time-varying weights. Neurocomputing. 48:39–51.
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.

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