Intelligent control techniques for humanoid robots

Abstract

This paper focuses on the application of the intelligent control techniques (neural networks, fuzzy logic and genetic algorithms) and their hybrid methods (neuro-fuzzy networks, neuro-genetic and fuzzy-genetic algorithms) in the area of humanoid robotic systems. This paper represents an attempt to give a report of the basic principles and concepts of intelligent control in humanoid robotics, with an outline of a number of recent algorithms used in advanced control of humanoid robots.