Recently there have been a number of proposals for the use of artifici
al evolution as a radically new approach to the development of control
systems for autonomous robots. This paper explains the artificial evo
lution approach, using work at Sussex to illustrate it. The paper revo
lves around a casts study on the concurrent evolution of control netwo
rks and visual sensor morphologies fdr a mobile robot. Wider intellect
ual issues surrounding the work are discussed, as is the: use of more
abstract evolutionary simulations us a new potentially useful tool in
theoretical biology. (C) 1997 Academic Press.