Flexible arms, unlike rigid arms, have complex and highly nonlinear behavior and dynamics. Many dynamic models have been proposed for modeling these flexible arms, but these models do not cover all the potential of these flexible arms. Neural networks are tools that can capture behaviors and nonlinear dynamic models of the system through training. In this research, in the first place, we have tried to model the system dynamics and uncertainty in the environment using neural networks, and then estimate its shape by using the same model. secondly, we hope to its closed-loop control using the same neural network model.

Project members: Mohamad Jamshidian – Masood Yousefi