Detecting the vibration in the artificial web inspired by the spider

Eunseok Jeong, Daeeun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Most of the spiders can hunt a prey and avoid the threat of predators by sensing web vibration. Spiders have eight legs, and it has the sense organs to detect vibrations. These vibration sensing organs can be observed at the slit sensilla on each leg. A distribution of the web string tension effectivelytransfer the vibration of a spider web into another place. In order to investigate the characteristics of the spider web, we test various sensors in the artificial web. We apply a population coding approach to detect the orientation of the web vibration source. We demonstrate the result in the vibration experiments.

Original languageEnglish
Title of host publicationFrom Animals to Animats 13 - 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Proceedings
PublisherSpringer Verlag
Pages43-52
Number of pages10
ISBN (Print)9783319088631
DOIs
Publication statusPublished - 2014 Jan 1
Event13th International Conference on the Simulation of Adaptive Behavior, SAB 2014 - Castellon, Spain
Duration: 2014 Jul 222014 Jul 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8575 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on the Simulation of Adaptive Behavior, SAB 2014
CountrySpain
CityCastellon
Period14/7/2214/7/25

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Jeong, E., & Kim, D. (2014). Detecting the vibration in the artificial web inspired by the spider. In From Animals to Animats 13 - 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Proceedings (pp. 43-52). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8575 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-08864-8_5