The main objective in automatic robot controller development is to devise mechanisms
whereby robot controllers can be developed with less reliance on human developers. One
such mechanism is the use of evolutionary algorithms (EAs) to automatically develop robot
controllers and occasionally, robot morphology. This area of research is referred to as
evolutionary robotics (ER). Through the use of evolutionary techniques such as genetic
algorithms (GAs) and genetic programming (GP), ER has shown to be a promising approach …

Genetic Algorithms and Genetic programming have been used extensively in Evolutionary
robotics (ER) with the goal of automatic programming of robotic controllers and has shown to
be a promising approach. In this paper, we demonstrate the use of Gene Expression
Programming, GEP, a newly developed evolutionary algorithm akin to GA and GP, to evolve
robotic behaviours. We use the already well known obstacle avoidance behaviour for our
initial work. The behaviour can be regarded as emergent when the main aim is to develop a …