Biblio

Found 232 results
Author Title [ Type(Desc)] Year
Conference Paper
Lebedev DV, Steil JJ, Ritter H.  2002.  A New Wave Neural Network Dynamics for Planning Safe Paths of Autonomous Objects in a Dynamically Changing World. Advances in Neural Networks World. :141–146.
Bongardt B.  2018.  Novel Plücker Operators and a Dual Rodrigues Formula Applied to the IKP of General 3R Chains. International Symposium on Advances in Robot Kinematics (ARK).
Rolf M, Steil JJ, Gienger M.  2011.  Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions. IEEE Int. Conf. Development and Learning and on Epigenetic Robotics (best student paper award). 2:1–8.
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E.  2007.  Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture. International Conference on Computer Vision Systems.
Lebedev DV, Steil JJ, Ritter H.  2005.  An on-line neural network-based approach to dynamic path planning and coordination of two robot arms. Proc. Int. Conf. Intelligent Robotis and Systems. :2411–2416.
Belardinelli A, Schneider WX, Steil JJ.  2010.  OOP: Object-Oriented-Priority for Motion Saliency Maps. Workshop on Brain Inspired Cognitive Systems. :370–381.
Wigand D, Mohammadi P, Hoffmann EMingo, Wrede S, Steil JJ, Tsagarakis N.  2018.  An Open-Source Architecture for Simulation, Execution and Analysis of Real-Time Robotics Systems. SIMPAR.
Shareef Z, Trächtler A.  2014.  Optimal trajectory planning for robotic manipulators using discrete mechanics and optimal control. IEEE Conference on Control Applications.
Shareef Z, Usman Z, Rana MAsif.  2014.  Optimization of static and dynamic anti-windup compensator using new improved particle swarm optimization algorithm. IEEE 15th International Symposium on Computational Intelligence and Informatics.
Aswolinskiy W, Steil JJ.  2016.  Parameterized Pattern Generation via Regression in the Model Space of Echo State Networks. Proceedings of the Workshop on New Challenges in Neural Computation.
Hammer B, Steil JJ.  2002.  Perspectives on Learning with Recurrent Neural Networks. Proc. European Symposium Artificial Neural Networks. :357–368.
Röthling F, Haschke R, Steil JJ, Ritter H.  2007.  Platform Portable Anthropomorphic Grasping with the Bielefeld 20-DOF Shadow and 9-DOF TUM Hand. Proc. Int. Conf. on Intelligent Robots and Systems (IROS). :2951–2956.
Lin H-C, Smith J, Babarahmati KKouhkiloui, Dehio N, Mistry M.  2018.  A Projected Inverse Dynamics Approach for Multi-arm Cartesian Impedance Control. Int. Conf. Robotics and Automation.
Reinhart F, Steil JJ.  2009.  Reaching movement generation with a recurrent neural network based on learning inverse kinematics for the humanoid robot iCub. IEEE Conf. Humanoid Robotics. :323–330.
Lebedev DV, Steil JJ, Ritter H.  2003.  Real Time Path Planning in Dynamic Environment: a Comparison of Three Neural Network Models. Proc. IEEE Int. Conf. Systems, Man, and Cybernetics. :3408–3413.
Mohammadi P, Malekzadeh M, Kodl J, Mukovskiy A, Wigand D, Giese M, Steil JJ.  In Press.  Real-time Control of Whole-body Robot Motion and Trajectory Generation for Psychotherapeutic Juggling in VR. IROS 2018.
Hammer B, Schrauwen B., Steil JJ.  2009.  Recent advances in efficient learning of recurrent networks. European Symposium on Artificial Neural Networks. :213–226.
Muxfeldt A, Steil JJ.  2018.  Recovering from Assembly Errors by Exploiting Human Demonstrations. 51st CIRP Conference on Manufacturing Systems.
Emmerich C, Reinhart F, Steil JJ.  2010.  Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. Proc. Int. Conf. Artificial Neural Networks. :148–153.
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.
Reinhart F, Steil JJ.  2008.  Recurrent neural associative learning of forward and inverse kinematics for movement generation of the redundant PA-10 robot. Int. Symp. Learning Adaptive Behavior in Robotic Systems, best paper award. 1:35–40.
Reinhart F, Lemme A, Steil JJ.  2012.  Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching. IEEE-RAS International Conference on Humanoid Robots. :560–567.
Reinhart F, Steil JJ.  2011.  Reservoir regularization stabilizes learning of Echo State Networks with output feedback. Proc. European Symposium on Artificial Neural Networks. :59–64.
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.
Denecke A, Wersing H, Steil JJ, Körner E.  2008.  Robust object segmentation by adaptive metrics in Generalized LVQ. Proc. of the European Symposium on Artificial Neural Networks (ESANN). :319–324.

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