Sensing and control of robotic manipulator by neural network

The neural network-based approach for sensing and control of robotic manipulators is presented. The authors corroborate the effectiveness of the proposed approach for impact control of a robotic manipulator. Since it is difficult to sense collisions and to control the robotic manipulator undergoing collisions, the proposed approach has robustness against the impact force. It also has the effectiveness in sensing and recognizing of collisions by using the proximity sensor