Vascular morphogenesis controller: a generative model for developing morphology of artificial structures.
- ,
- Daniel Nicolas Hofstadler,
- Thomas Schmickl
- University of Graz
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewHost publication Subtitle
GECCO '17Original language
EnglishPages 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 StatesISBN (Electronic)
9781450349208Publication IDs
- Scopus: 85026395373
Host publication title
Proceedings of the Genetic and Evolutionary Computation ConferenceAbstract
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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Related Event
Title
The Genetic and Evolutionary Computation Conference
Event type
ConferenceDegree of recognition
International eventDate
15/07/2017 - 19/07/2017Location
BerlinGermany
