Miroslaw Galicki
According to our database1,
Miroslaw Galicki
authored at least 52 papers
between 1993 and 2019.
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Bibliography
2019
J. Intell. Robotic Syst., 2019
Proceedings of the 12th International Workshop on Robot Motion and Control, 2019
2018
Investigation of generalization ability of a trained stochastic kinetic model of neuron.
Appl. Math. Comput., 2018
2017
J. Intell. Robotic Syst., 2017
Proceedings of the 11th International Workshop on Robot Motion and Control, 2017
2016
Robotics Auton. Syst., 2016
Autom., 2016
2015
Proceedings of the 10th International Workshop on Robot Motion and Control, 2015
2014
Robotics Auton. Syst., 2014
2012
2011
A Time-Variant Processing Approach for the Analysis of Alpha and Gamma MEG Oscillations During Flicker Stimulus Generated Entrainment.
IEEE Trans. Biomed. Eng., 2011
2010
Proceedings of the Image and Signal Processing, 4th International Conference, 2010
2009
2008
IEEE Trans. Autom. Control., 2008
2007
Robotica, 2007
Proceedings of the Robot Motion and Control 2007, 2007
2006
IEEE Trans. Biomed. Eng., 2006
Robotics Auton. Syst., 2006
2005
Control-Based Solution to Inverse Kinematics for Mobile Manipulators Using Penalty Functions.
J. Intell. Robotic Syst., 2005
J. Field Robotics, 2005
Proceedings of the Fifth International Workshop on Robot Motion and Control, 2005
2004
Path following by the end-effector of a redundant manipulator operating in a dynamic environment.
IEEE Trans. Robotics, 2004
Neural Comput., 2004
Proceedings of the Fourth International Workshop on Robot Motion and Control, 2004
2003
Robotica, 2003
Determination of parameters of 3-dof spatial orientation manipulators for a specified workspace.
Robotica, 2003
Designing and optimization of parameters of delta-4 parallel manipulator for a given workspace.
J. Field Robotics, 2003
2002
IEEE Trans. Neural Networks, 2002
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002
Learning the Dynamic Neural Networks with the Improvement of Generalization Capabilities.
Proceedings of the Artificial Neural Networks, 2002
2001
Initial state training procedure improves dynamic recurrent networks with time-dependent weights.
IEEE Trans. Neural Networks, 2001
Int. J. Robotics Res., 2001
2000
Time-optimal controls of kinematically redundant manipulators with geometric constraints.
IEEE Trans. Robotics Autom., 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
Learning continuous trajectories in recurrent neural networks with time-dependent weights.
IEEE Trans. Neural Networks, 1999
Proceedings of the 5th European Control Conference, 1999
1998
IEEE Trans. Signal Process., 1998
Int. J. Robotics Res., 1998
Training Continuous Trajectories by Means of Dynamic Neural Networks with Time Dependent Weights.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998
The Improvement and Comparison of Different Algorithms for Optimizing Neural Networks on the MasPar MP-2.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998
The Structure of Time-Optimal Controls for Kinematically Redundant Manipulators with End-Effector Path Constraints.
Proceedings of the IEEE International Conference on Robotics and Automation, 1998
1997
IEEE Trans. Neural Networks, 1997
Common Optimization of Adaptive Preprocessing Units and a Neural Network during the Learning Period. Application in EEG Pattern Recognition.
Neural Networks, 1997
Neural Clustering Networks based on Global Optimisation of Prototypes in Metric Spaces.
Neural Comput. Appl., 1997
Proceedings of the Artificial Neural Networks, 1997
1996
Fast vector quantizer on neural clustering networks providing globally optimal cluster solutions.
Proceedings of the 13th International Conference on Pattern Recognition, 1996
1994
Simultanes Anlernen von Neuronalem Netz und Signalverarbeitung für Mustererkennungsaufgaben im Neugeborenenmonitoring.
Proceedings of the Medizin und Information, 1994
1993
Optimization of Adaptive Preprocessing Units During the Learning Process of Neural Networks. Application in EEG Pattern Recognition.
Proceedings of the Mustererkennung 1993, 1993