abstract = "Area exploration and mapping with teams of robots is a
challenging application. As the complexity of this
application increases so does the challenge of
designing effective coordinated control. One potential
solution to this problem is to explore some relevant
parts of the design space automatically. In this paper,
we present an approach which uses Grammatical Evolution
to design a control function for coordinated path
planning of teams of mobile robots. Simulation results
are promising with evolved control functions showing
performance better than handwritten control in term of
amount of explored area.",
notes = "School of Computer Science, The University of Adelaide
SA 5005, Australia
http://www.issnip.org/2011/ Also known as
\cite{6146624}",