Publication result detail

Overview of Bio-Inspired Control Mechanisms for Hexapod Robot

ŽÁK, M.; ROZMAN, J.; ZBOŘIL, F.

Original Title

Overview of Bio-Inspired Control Mechanisms for Hexapod Robot

English Title

Overview of Bio-Inspired Control Mechanisms for Hexapod Robot

Type

Paper in proceedings (conference paper)

Original Abstract

This paper deals with overview of possible control mechanisms for hexapod robot. Basic characteristics of legged robots, a few existing robots and their pros and cons are described in the introduction of this paper. Main part of the paper is focused on the previous work done in the field of hexapod robot control, especially the usage of evolution techniques like neural networks and genetic algorithms. The last part is about a hexapod robot of our design.

English abstract

This paper deals with overview of possible control mechanisms for hexapod robot. Basic characteristics of legged robots, a few existing robots and their pros and cons are described in the introduction of this paper. Main part of the paper is focused on the previous work done in the field of hexapod robot control, especially the usage of evolution techniques like neural networks and genetic algorithms. The last part is about a hexapod robot of our design.

Keywords

Hexapod Robot
Hexapod Controller
Evolution Techniques For Hexapod Control

Key words in English

Hexapod Robot
Hexapod Controller
Evolution Techniques For Hexapod Control

Authors

ŽÁK, M.; ROZMAN, J.; ZBOŘIL, F.

RIV year

2017

Released

10.06.2016

Publisher

Machine Intelligence Research Labs

Location

Marrakesh

ISBN

978-1-4673-8709-5

Book

International Conference on Intelligent Systems Design and Applications, ISDA

Pages from

160

Pages to

165

Pages count

6

URL

BibTex

@inproceedings{BUT119916,
  author="Marek {Žák} and Jaroslav {Rozman} and František {Zbořil}",
  title="Overview of Bio-Inspired Control Mechanisms for Hexapod Robot",
  booktitle="International Conference on Intelligent Systems Design and Applications, ISDA",
  year="2016",
  pages="160--165",
  publisher="Machine Intelligence Research Labs",
  address="Marrakesh",
  doi="10.1109/ISDA.2015.7489218",
  isbn="978-1-4673-8709-5",
  url="https://www.fit.vut.cz/research/publication/10982/"
}

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