Dynamic Route Planning of Intelligent Robot Based on Immune Neural Network

At present, the development of robots has entered the third generation intelligent robot era, and the research on robots has also entered an increasingly mature stage. Among them, mobile robots with autonomous decision-making ability are a hotspot in robot research. The key problems of mobile robot research include: robot structure, architecture, path planning, feedback stabilization, etc. among them, path planning is particularly important in mobile robot research. In this article, a DRP (Dynamic Route Planning) optimization design scheme of intelligent robot based on immune neural network is proposed. The path selection design of intelligent robot in dynamic state is realized by combining immune arithmetic and neural network. Finally, the accuracy of the arithmetic is analyzed experimentally. The final experiment shows that the immune neural network can improve the DRP by 8.45% compared with the traditional arithmetic. The research on dynamic path design with intelligent robots as the core has important practical significance for guiding the research on how robots can be more suitable for the needs of modern manufacturing industry.