Social adaptation of robots for modulating self-organization in animal societies

Payam Zahadat, Michael Bodi, Ziad Salem, Frank Bonnet, Marcelo Elias de Oliveira, Francesco Mondada, Karlo Griparic, Tomislav Haus, Stjepan Bogdan, Rob Mills, Pedro Mariano, Luís Correia, Olga Kernbach, Serge Kernbach, Thomas Schmickl
2nd FoCAS Workshop on Fundamentals of Collective Systems (2014)

Abstract:

The goal of the work presented here is to influence
the overall behaviour of specific animal societies by integrating
computational mechatronic devices (robots) into those societies.
To do so, these devices should be accepted by the animals as
part of the society and/or as part of the collectively formed
environment. For that, we have developed two sets of robotic
hardware for integrating into societies of two different animals:
zebrafish and young honeybees. We also developed mechanisms
to provide feedback from the behaviours of societies for the
controllers of the robotic system. Two different computational
methods are then used as the controllers of the robots in
simulation and successfully adapted by evolutionary algorithms to
influence the simulated animals for desired behaviours. Together,
these advances in mechatronic hardware, feedback mechanisms,
and controller methodology are laying essential foundations to
facilitate experiments on modulating self-organised behaviour in
mixed animal–robot societies.


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