Biblio

Found 196 results
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Filters: Author is Steil, Jochen J.  [Clear All Filters]
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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.
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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Wersing H, Steil JJ, Ritter H.  1997.  A Layered Recurrent Neural Network for Feature Grouping. Int. Conf. on Artificial Neural Networks. :439–444.
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.
Kubus D, Rayyes R, Steil JJ.  2018.  Learning Forward and Inverse Kinematics Maps Efficiently. IROS 2018.
Malekzadeh M, Queißer J, Steil JJ.  2015.  Learning from demonstration for Bionic Handling Assistant robot.
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 JJ.  2017.  Learning Inverse Statics Models Efficiently. arXiv.
Rayyes R, Kubus D, Steil JJ.  2018.  Learning Inverse Statics Models Efficiently with Symmetry-Based Exploration. Frontiers in Neurorobotics.
Weirich A, Haumann C, Steil JJ, Schüler S..  2011.  Learning Lab - Physical Interaction with Humanoid Robots for Pupils. Proc. Robotics in Education. :21–28.
Weng S, Wersing H, Steil JJ, Ritter H.  2006.  Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions. IEEE Trans. Neural Networks. 17:843–862.
Kober J, Gienger M, Steil JJ.  2015.  Learning Movement Primitives for Force Interaction Tasks. ICRA. :3192–3199.
Neumann K, Steil JJ.  2015.  Learning Robot Motions with Stable Dynamical Systems under Diffeomorphic Transformations. Robotics and Autonomous Systems. 70:1–15.
Malekzadeh M, Queißer J, Steil JJ.  2016.  Learning the end-effector pose from demonstration for the Bionic Handling Assistant robot.
Soltoggio A, Reinhart F, Lemme A, Steil JJ.  2013.  Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards.
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.
Steil JJ.  2000.  Local input-output stability of recurrent networks with time-varying weights. Proc. European Symposium Artificial Neural Networks. :281–286.

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