Publication result detail

Aproximation of walking robot stability model

KREJSA, J., GREPL, R., VĚCHET, S.

Original Title

Aproximation of walking robot stability model

English Title

Aproximation of walking robot stability model

Type

Paper in proceedings (conference paper)

Original Abstract

Abstract: The paper compares global and local approximation methods used for walking robot stability model. Global approximators are represented by feedforward multilayer neural network (FFNN) trained by gradient method; local approximators are represented by Locally Weighted Regression (LWR) and Receptive Field Weighted Regression (RFWR) methods.

English abstract

Abstract: The paper compares global and local approximation methods used for walking robot stability model. Global approximators are represented by feedforward multilayer neural network (FFNN) trained by gradient method; local approximators are represented by Locally Weighted Regression (LWR) and Receptive Field Weighted Regression (RFWR) methods.

Keywords

Stability, Walking robot, Aproximation

Key words in English

Stability, Walking robot, Aproximation

Authors

KREJSA, J., GREPL, R., VĚCHET, S.

Released

10.05.2004

Publisher

Institute of Thermomechanics, Academy of Sciences of the Czec Republic

Location

Svratka

ISBN

80-85918-88-9

Book

Enigneering Mechanics 2004, National Conference with International Participation

Pages from

159

Pages count

2

BibTex

@inproceedings{BUT12326,
  author="Jiří {Krejsa} and Robert {Grepl} and Stanislav {Věchet}",
  title="Aproximation of walking robot stability model",
  booktitle="Enigneering Mechanics 2004, National Conference with International Participation",
  year="2004",
  pages="2",
  publisher="Institute of Thermomechanics, Academy of Sciences of the Czec Republic",
  address="Svratka",
  isbn="80-85918-88-9"
}