Intelligent soft-computing paradigms for humanoid robots

This paper focuses on the application of the intelligent control techniques (neural networks, fuzzy logic and genetic algorithms) anti 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.

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