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Research on Global Path Planning of Artificial Intelligence Robot Based on Improved Ant Colony Algorithm

Hairu Zhao, Hui Zhou, Guiqin Yang

Year
2021
Citations
10

Abstract

Abstract With the rapid development of science and technology and the improvement of people’s living standards and enjoyment consciousness, robots have come into people’s field of vision more and more. People’s use of robots in production and life has greatly increased. As an important function of the normal use of the robot and evaluating the quality level of the robot, the careful design and optimization of the path planning is the most important. This study discusses the basic situation of robot global path planning, the application, advantages and improvement measures of ant colony algorithm in robot path planning, which provides help for the further development and popularization of robot.

Keywords

Ant colony optimization algorithmsRobotMotion planningPath (computing)Computer scienceArtificial intelligenceField (mathematics)Mathematics

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