Evolving a Novel Bio-inspired Controller in Reconfigurable Robots View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Jürgen Stradner , Heiko Hamann , Thomas Schmickl , Ronald Thenius , Karl Crailsheim

ABSTRACT

Evolutionary robotics uses evolutionary computation to optimize physically embodied agents. We present here a framework for performing off-line evolution of a pluripotent robot controller that manages to form multicellular robotic organisms from a swarm of autonomously moving small robot modules. We describe our evolutionary framework, show first results and discuss the advantages and disadvantages of our off-line evolution approach. In detail, we explain the single parts of the framework and a novel homeostatic hormone-based controller, which is shaped by artificial evolution to control both, the non-aggregated single robotic modules and the joined high-level robotic organisms. As a first step we present results of this evolutionary shaped controller showing the potential for different motion behaviours. More... »

PAGES

132-139

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-21283-3_17

DOI

http://dx.doi.org/10.1007/978-3-642-21283-3_17

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037784123


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