Biblio

Found 204 results
Author Title [ Type(Asc)] Year
Filters: Author is Steil, Jochen J.  [Clear All Filters]
Conference Paper
Weng S., Steil JJ.  2002.  Data Driven Generation of Interactions for Feature Bindingand Relaxation Labeling. Proc. Int. Conf. Artificial Neural Networks. :432–437.
Haschke R, Steil JJ, Ritter H.  2001.  Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. Artificial Neural Networks - ICANN 2001. 2130:1109–1114.
Dehio N, Kubus D, Steil JJ.  2018.  Continuously Shaping Projections and Operational Space Tasks. IROS 2018.
Dehio N, Reinhart F, Steil JJ.  2016.  Continuous Task-Priority Rearrangement during Motion Execution with a Mixture of Torque Controllers. Proc. IEEE Humanoids.
Rolf M, Steil JJ.  2012.  Constant curvature continuum kinematics as fast approximate model for the Bionic Handling Assistant. IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS). :3440–3446.
Dehio N, Steil JJ.  2016.  A Comparison of Null-space Projection and Mixture of Torque Controllers for Motion Generation. Proc. 9th Int. Workshop on Human-Friendly Robotics.
Rolf M, Steil JJ, Gienger M.  2010.  Bootstrapping inverse Kinematics with Goal Babbling. :147–154.
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.
Neumann K, Steil JJ.  2011.  Batch Intrinsic Plasticity for Extreme Learning Machines. Artificial Neural Networks and Machine Learning – ICANN 2011. Pt. 1. 6791:339–346.
Emmerich C, Reinhart F, Steil JJ.  2012.  Balancing of neural contributions for multi-modal hidden state association. Proc. European Symposium on Artificial Neural Networks. :19–24.
Steil JJ.  2004.  Backpropagation-Decorrelation: online recurrent learning with O(N) complexity. Proc. Int. Joint Conference Neural Networks. 1:843–848.
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.
Reinhart F, Steil JJ.  2009.  Attractor-based computation with reservoirs for online learning of inverse kinematics. European Symposium Artificial Neural Networks (ESANN). :257–262.
Emmerich C, Nordmann A, Swadzba A, Steil JJ, Wrede S.  2013.  Assisted Gravity Compensation to Cope with the Complexity of Kinesthetic Teaching on Redundant Robots. :4307–4313.
Rüther S, Hermann T, Mracek M, Kopp S, Steil JJ.  2013.  An Assistance System for Guiding Workers in Central Sterilization Supply Departments. Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments. :31–38.
Fink GA, Fritsch J, Leßmann N, Ritter H, Sagerer G, Steil JJ, Wachsmuth I.  2003.  Architekturen situierter Kommunikatoren: Von Perzeption über Kognition zum Lernen. Informatik 2003 - Innovative Informatikanwendungen. 2:29–44.
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.
Queißer J, Neumann K, Rolf M, Reinhart F, Steil JJ.  2014.  An Active Compliant Control Mode for Interaction with a Pneumatic Soft Robot. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). :573–579.
Book Chapter
Ritter H, Haschke R, Steil JJ.  2009.  Trying to Grasp a Sketch of a Brain for Grasping. Creating Brain-Like Intelligence. :84–102.
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.  2019.  Roboterlernen ohne Grenzen ? Lernende Roboter und ethische Fragen Christiane Woopen, Marc Jannes [Hrsg.] Roboter in der Gesellschaft. Technische Möglichkeiten und menschliche Verantwortung. :15-33.
Reinhart F, Neumann K, Aswolinskiy W, Steil JJ, Hammer B.  2018.  Maschinelles Lernen in technischen Systemen. Steigerung der Intelligenz mechatronischer Systeme. :pp.73-118.
Ritter H, Haschke R, Röthling F, Steil JJ.  2011.  Manual Intelligence as a Rosetta Stone for Robot Cognition. Robotics Research. 66:135–146.
Steil JJ, Krüger S.  2013.  Lernen und Sicherheit in Interaktion mit Robotern aus Maschinensicht. Robotik und Gesetzgebung. 2:51–71.
Steil JJ, Maier GW.  2018.  Kollaborative Roboter – universale Werkzeuge in der digitalisierten und vernetzten Arbeitswelt. Handbuch Gestaltung digitaler und vernetzter Arbeitswelten.

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