This paper discusses a genetic algorithm (GA) based method for automatically tuning mobile robot
motion controllers. The genetic algorithm evolves a controller that is optimised for a given performance
measure. Genetic algorithms require a mapping from the genetic code to an implementation. This
translation between the chromosome and the implementation allows the use of standard GA libraries,
however the assumption constrains the types of problems that can be solved.
