Building a Robot Path Optimization in Prefabricated Buildings

Abstract

Intelligent robot technology can complete certain work in some construction enterprises. With the arrival of 5G era, its application will be more in-depth and extensive, and it is also a key factor for the sustainable development of the construction industry. In this paper, the hybrid algorithm of genetic ant colony is proposed, which improves the traditional two-dimensional path planning algorithm and three-dimensional path planning algorithm. The experimental test is carried out by using the robot embedding correlation algorithm. The experiment shows that the improved two-dimensional and three-dimensional path planning algorithm has advantages over the traditional algorithm. Moreover, the hybrid ant colony algorithm is obviously superior to the ant colony algorithm, genetic algorithm and particle swarm optimization algorithm, which verifies the effectiveness of the hybrid algorithm and has certain feasibility in the application of prefabricated building environment.