Evolving Controllers for Programmable Robots to Influence Non-Programmable Lifeforms: A Casy Study

Payam Zahadat, Thomas Schmickl
Lecture Notes in Computer Science 9028 (2015)

Abstract:

In this paper, a decentralized reaction-diffusion-based controller
is evolved for a set of robots in an arena interacting with two
simulated juvenile bees as non-programmable agents. The bees react to
the stimuli that are emitted by the robots. The evolutionary process successfully
finds controllers that produce proper patterns which guide the
bees towards a number of given targets. The results show a preference
of heat as the dominant stimulus causing movement of the bees.


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