Detail publikace

Inverted modelling with approximation methods

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

MIČEK, P., VĚCHET, S., BŘEZINA, T.

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"
}