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Vascular morphogenesis controller: a generative model for developing morphology of artificial structures.

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

Open access

Publication Information

Output type

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

Host publication Subtitle

GECCO '17

Original language

English

Pages from-to (Number of pages)

Pages 163-170 (8 pages)

Publication milestones

  • Published - 2017

Publication status

Published - 2017

Place of publication

New York, USA

Publisher

Association for Computing Machinery, United States

ISBN (Electronic)

9781450349208

Publication IDs

  • Scopus: 85026395373

Host publication title

Proceedings of the Genetic and Evolutionary Computation Conference

Abstract

Morphology of an artificial structure can be designed beforehand or it can be developed over time via interactions between different parts of the structure. Since structures are supposed to sustain and act in their surrounding environments, a successful generative process needs to consider both the global and local effects of environment during morphogenesis. As in their biological counterparts, many morphogenesis models are distributed over the growing structure. In this paper, a novel distributed model, called Vascular Morphogenesis Controller (VMC), is introduced by being inspired from branching mechanisms in plants where every branch of a plant acts as an autonomous agent competing with the other agents for a larger share of the resources for growth. To the best of our knowledge, this is the first explicit use of distribution of limited resources in morphogenesis process of artificial structures. The model is implemented for growing a simulated modular robot that is designed based on a physical robot. The parameters of model are successfully evolved to direct the growth of robots in different environmental condition, i.e., in harsh and calm environments, in various light conditions, and in a layered environment. The results demonstrate usability of the model despite simplicity of its logic.

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Citations
29
Captures
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Access to documents

Related Event

Title

The Genetic and Evolutionary Computation Conference

Event type

Conference

Degree of recognition

International event

Date

15/07/2017 - 19/07/2017

Location

BerlinGermany