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Evolving Controllers for Programmable Robots to Influence Non-programmable Lifeforms: A Case Study

  • University of Graz
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
 Peer-review

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 831-841 (11 pages)

Publication milestones

  • Published - 01/01/2015

Publication status

Published - 01/01/2015

Publisher

Springer Nature Switzerland

Book series

  • Book series name: Lecture Notes in Computer Science
    Volume: 9028
    ISSN: 0302-9743

ISBN (Print)

978-3-319-16548-6

ISBN (Electronic)

978-3-319-16549-3

Publication IDs

  • Scopus: 84925862420

Host publication title

Applications of Evolutionary Computation

Abstract

In this paper, a decentralized reaction-diffusion-based controller is evolved for a set of robots in an arena interacting with two simulated juvenile bees as non-programmable agents. The bees react to the stimuli that are emitted by the robots. The evolutionary process successfully finds controllers that produce proper patterns which guide the bees towards a number of given targets. The results show a preference of heat as the dominant stimulus causing movement of the bees.

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Related Event

Title

European Conference on the Applications of Evolutionary Computation

Event type

Conference

Date

08/04/2015 - 10/04/2015

Location

CopenhagenDenmark