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At present, the path planning accuracy of multi manipulator trajectory planning system is low and obstacle avoidance ability is poor. The planning system of multi manipulator is designed based on deep learning. Through the research of the shortcomings of the traditional system, such as the lack of accuracy and intelligence, the corresponding solution conditions are introduced in the designed system. In the design of hardware structure, this paper uses isl-320 servo motor to enhance the power function of multi manipulator, and skt64 series chip is used to improve the path of multi manipulator Accuracy: in the application design, the application of fitting algorithm and superposition algorithm on the nodes in the planning path can improve the overall accuracy of the system and enhance the intelligent degree of the system. The experimental results show that the path of the multi manipulator trajectory planning system based on deep learning is very close to the standard path, which shows that the planning accuracy of the method is high and the obstacle avoidance ability is effectively enhanced.