Path Planning of Materials Distribution Robot for Sports Games Based on Improved Particle Swarm Optimization Algorithm

Machine delivery is gradually replacing human delivery as the mainstream development trend in material delivery for large-scale comprehensive sports events. In addition to having high requirements for hardware devices such as communication modules and sensor modules, material delivery robots also play a crucial role in path planning algorithms. The path planning module is equivalent to the brain of material delivery robots, determining the efficiency and quality of the entire delivery process. This article is based on the basic problem solving mathematical model. Firstly, the mathematical model and implementation process of the standard particle swarm optimization algorithm are studied. Then, in response to the existing problems, improvements are made from three aspects: inertia weight, acceleration factor, and limited particle velocity. Experimental simulation research is conducted using Schaffer fitness function. The results show that due to the advantages of fewer parameters and easy implementation of the improved particle swarm optimization algorithm, using the improved particle swarm optimization algorithm to solve the path planning of the sports meeting material delivery robot can obtain high-performance path planning and allocation schemes.