Publication detail

Inverted modelling with approximation methods

MIČEK, P., VĚCHET, S., BŘEZINA, T.

Original Title

Inverted modelling with approximation methods

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Inverse kinematic modell, robotic mechanism, pedal, lazy learning, neurofuzzy approach, neural network

Key words in English

Lazy Learning, Locally Weighted Regression, neural networks, fuzzy, robot, modelling

Authors

MIČEK, P., VĚCHET, S., BŘEZINA, T.

RIV year

2003

Released

24. 3. 2003

Publisher

Institute of Mechanics of Slolids, Faculty of Mechanical Engineering, Brno University of Technology

Location

FSI VUT Brno

ISBN

80-214-2312-9

Book

MECHATRONICS, ROBOTICS AND BIOMECHANICS 2003

Edition number

1

Pages from

123

Pages to

124

Pages count

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"
}