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Title: Environmental factors promoting the evolution of recruitment strategies in swarms of foraging robots
Authors: Van Essche, Steven ×
Ferrante, Eliseo
Turgut, Ali E.
van Lon, Rinde R.S.
Holvoet, Tom
Wenseleers, Tom #
Issue Date: May-2015
Host Document: Proceedings of the First International Symposium on Swarm Behavior and Bio-Inspired Robotics pages:1-8
Conference: First International Symposium on Swarm Behavior and Bio-Inspired Robotics edition:1 location:Kyoto University, Kyoto, Japan date:October 28-30, 2015
Abstract: Swarm robotics has both an engineering as well as a scientific nature. On the one hand, it studies how to design flexible, robust, and scalable collective behaviors to solve real-world problems in large, unstructured environments. On the other hand, it is also useful to biologists to study the proximate mechanisms employed by social species to achieve the astonishing levels of collective organization that are often observed in nature. Evolutionary swarm robotics has a similar double nature. On the one hand, the use of evolutionary computation techniques is proposed as a solution to the design problem, that is, to decompose the collective-level goal into the local behaviors of the robots. On the other hand, studying evolutionary robotics scenarios can be very useful to biologists to understand the ultimate causes and factors that promote the evolution of specific types of collective organization in nature.

In this paper, our goal is to use an evolutionary swarm robotics scenario to answer questions related to the evolution of recruitment strategies in social insects. We consider a foraging scenario in which objects are distributed in the environment according to specific distributions. We show that the way food is distributed in the environment has a significant influence on whether and which recruitment strategies emerge through the evolutionary process. The results of this paper are therefore useful both to advance our understanding on the evolutionary causes of recruitment in biological systems, as well as to hint to engineers the requirements to evolve complex coordination strategies.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Ecology, Evolution and Biodiversity Conservation Section
Informatics Section
× corresponding author
# (joint) last author

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