Evolution of Robot Leg Movements in a Physical Simulation

Abstract

This paper introduces a Genetic Programming approach to creating patterns of movements for legs of walking robots. It uses a physics-based simulation system to evaluate the fitness of movement patterns, which are emerging from the interpretation of the individuals of the population. Different methods are shown that increase the speed of the evolution by several orders of magnitude. 1