Intelligent Robot Functions and Personality Rights under Ant Colony Optimization Algorithm in the Background of Anti-Discrimination

Abstract

This paper is to analyze the intelligent robot functions under the ant colony optimization (ACO) algorithm in the background of anti-discrimination and to further study its personality rights. In this study, the ACO algorithm is used to improve the path planning ability of the intelligent robot, and it is simulated to analyze the personality rights of the intelligent robot. The results show that in the analysis of the iteration times, it is found that the path length of the intelligent robot in the grid map will be almost unchanged after the iteration is greater than 40 times, which is the global optimal path planning. Further analysis of its personality rights can find the inevitability of giving the robot personality rights after it becomes more intelligent. And the application of intelligent robots with strong artificial intelligence will also make people's lives more convenient and efficient. Therefore, through the research in this paper, it is necessary for intelligent robots to plan the global optimal path while making the robot more intelligent to give them personality rights. It provides an experimental basis for related research in the field of later intelligent robots.