Path Planning Simulation and Research of Mobile Robot in Static Environment based on Genetic Algorithm

The feature of mobile robot is to realize the purpose of completing a certain task by perceiving, receiving and processing the information of the external environment and independently planning the moving route in the static environment. This paper focuses on the path planning of mobile robots in static environment, and designs a set of static global path planning algorithm based on genetic algorithm through the research of path planning methods and related work. MATLAB is used to simulate the path planning algorithm, and analyzes the influence of related parameters on the path planning effect, as well as the basic idea of reasonable parameter adjustment. Finally, the path planning algorithm in dynamic environment is preliminarily studied and simulated.