Publication detail
Inverted modelling with approximation methods
MIČEK, P. VĚCHET, S. BŘEZINA, T.
English title
Inverted modelling with approximation methods
Type
Paper in proceedings (conference paper)
Language
en
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 in English
Inverse kinematic modell, robotic mechanism, pedal, lazy learning, neurofuzzy approach, neural network
Released
2003-03-24
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
Pages from–to
123–
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"
}