Human hands can precisely perform a wide range of tasks. This paper investigates key performance differences when conventional robotic hand controllers are combined with Neural Networks (NN). This work aims to apply the concepts associated with neural networks in the control of an autonomous robot system. The robot was tested in several arbitrary paths in order to verify the effectiveness of the neural control.