Research on Path Planning Based on NAO Robot

With the great progress made in the study of robots, the path planning of robots in research has become an important problem. The goal is for NAO to walk smoothly and plan suitable routes to complete the tasks given to it by people. The ant colony algorithm and genetic algorithm were used, and the environment was constructed by the raster method, and the feasibility of the two methods was analyzed by simulation experiment using Matlab software and the optimal results were compared. The path planning experiment using the NAO bipedal robot first makes a simple arrangement of the surrounding environment where the robot is walking, and uses choregraphe software to connect to the NAO robot and control NAO to complete the return path planning experiment.