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MIČEK, P., VĚCHET, S., BŘEZINA, T.
Originální název
Inverted modelling with approximation methods
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper deals with making the inverse kinematic modells. Two robotic pedal mechanisms are used as examples of the modelling process. The Neurofuzzy approach, the Lazy Learning method, the Locally Weighted Regression and artificial Neural network are used in the modell creation. The comparison of results produced by different methods together with evaluation of their usability from the practical point of view is presented at the end of the paper.
Klíčová slova
Inverse kinematic modell, robotic mechanism, pedal, lazy learning, neurofuzzy approach, neural network
Klíčová slova v angličtině
Lazy Learning, Locally Weighted Regression, neural networks, fuzzy, robot, modelling
Autoři
Rok RIV
2003
Vydáno
24. 3. 2003
Nakladatel
Institute of Mechanics of Slolids, Faculty of Mechanical Engineering, Brno University of Technology
Místo
FSI VUT Brno
ISBN
80-214-2312-9
Kniha
MECHATRONICS, ROBOTICS AND BIOMECHANICS 2003
Číslo edice
1
Strany od
123
Strany do
124
Strany počet
2
BibTex
@inproceedings{BUT9719, author="Pavel {Miček} and Stanislav {Věchet} and Tomáš {Březina}", title="Inverted modelling with approximation methods", booktitle="MECHATRONICS, ROBOTICS AND BIOMECHANICS 2003", year="2003", number="1", pages="2", publisher="Institute of Mechanics of Slolids, Faculty of Mechanical Engineering, Brno University of Technology", address="FSI VUT Brno", isbn="80-214-2312-9" }