Publication detail

Aproximation of walking robot stability model

KREJSA, J. GREPL, R. VĚCHET, S.

English title

Aproximation of walking robot stability model

Type

Paper in proceedings (conference paper)

Language

en

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.

Keywords in English

Stability, Walking robot, Aproximation

Released

2004-05-10

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–to

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"
}