Study of the operator model for robotic excavation

Improving the intelligent ability of a robotic excavator is useful in practice, and this is a challengeable work due to the complex working environment of robotic excavation. In order to increase the performance of automatic control, operator model of robotic excavation derive from excavator driver is established to overcome the complex nonlinearities of the control system. The model is accordant with the operation properties of the excavator that it improves the autonomous ability of the robotic excavator. The operator model of robotic excavation based on neural network theory is developed in this paper. The experiment results demonstrate that this operator model is effective and feasible.