Biblio

Found 35 results
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W
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.
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.
Weirich A, Haumann C, Steil JJ, Schüler S..  2011.  Learning Lab - Physical Interaction with Humanoid Robots for Pupils. Proc. Robotics in Education. :21–28.
T
Testarossa T..  1999.  Lorem ipsum dolor sit amet.
S
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.
Steil JJ.  2002.  Local structural stability of recurrent networks with time-varying weights. Neurocomputing. 48:39–51.
Spehr J., Gövercin M., Winkelbach S., Steinhagen-Thiessen E., Wahl F..  2008.  Langzeitevaluation eines visuellen Sturzerkennungssystems in einer realen häuslichen Umgebung. Zeitschrift für Gerontologie und Geriatrie. 41:I/19.
Spehr J., Gövercin M., Winkelbach S., Steinhagen-Thiessen E., Wahl F..  2008.  Long-Term Evaluation of a Visual Fall Detection System in a Real Home Environment. 1. Gemeinsamer Kongress der DGG / ÖGGG und der DGGG / SGG.
Soltoggio A, Reinhart F, Lemme A, Steil JJ.  2013.  Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards.
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.
R
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.
Reinhart F, Steil JJ.  2012.  Learning Whole Upper Body Control with Dynamic Redundancy Resolution in Coupled Associative Radial Basis Function Networks. IROS. :1487–1492.
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.
Ö
Ötting S, Masjutin L, Steil JJ, Maier GW.  2020.  Let's Work Together: A Meta-Analysis on Robot Design Features that Enable Successful Human–Robot Interaction at Work. Human Factors.
O
Osypiuk R., Kröger T..  2009.  A Low-Cost Hexa Platform for Efficient Force Control Systems Using Industrial Manipulators. Solid State Phenomena. 147-149:1–6.
Osypiuk R., Kröger T..  2008.  A Low-Cost Hexa Platform for Efficient Force Control Systems Using Industrial Manipulators. The 4th International Conference Mechatronic Systems and Materials. :3–4.
N
Neumann K, Steil JJ.  2015.  Learning Robot Motions with Stable Dynamical Systems under Diffeomorphic Transformations. Robotics and Autonomous Systems. 70:1–15.
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
M
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.
Malekzadeh M, Queißer J, Steil JJ.  2015.  Learning from demonstration for Bionic Handling Assistant robot.
Malekzadeh M, Queißer J, Steil JJ.  2016.  Learning the end-effector pose from demonstration for the Bionic Handling Assistant robot.
L
Last C., Winkelbach S., Wahl F., Eichhorn K., Bootz F..  2011.  A Locally Deformable Statistical Shape Model. MLMI 2011, LNCS. 7009:51–58.

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