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In order to improve the accurate sorting capability of the robotic arm equipment, a robotic arm multi-degree-of-freedom sorting control system based on the RBF-BP algorithm is designed. The RBF-BP feedforward neural network is used to plan the motion trajectory of the manipulator equipment, and the motion trajectory modeling of the manipulator based on the RBF-BP algorithm is realized. Determine the connection position of the industrial camera in the overall functional framework. According to the selection of the manipulator, determine the adjustment capability of the programmable logic controller and the variable frequency controller for the selected manipulator components, and complete the development of the system function module. With the help of the transmission channel, the Sorting order and ToolControl control order are fed back to the core control host, and a complete order execution loop is established, and then combined with the relevant hardware equipment structure to realize the design of the robotic arm multi-degree-of-freedom sorting control system based on the RBF-BP algorithm . The experimental results show that under the condition of the same grasping ability, the number of workpieces successfully sorted by the robotic arm controlled by the RBF-BP algorithm is 19, and the grasping success rate of the robotic arm is 95%, indicating that the designed system meets the requirements of lifting the robotic arm. The original intention of the design of accurate sorting capabilities.