Analysis of Path Planning Algorithms for Service Robots Applied in Indoor Environments

Abstract

Path planning technology is one of the key issues in solving mobile robot navigation technology. On the basis of traditional path planning algorithms, a large number of algorithms have been improved and applied to achieve better results, like fireworks algorithm, ant colony algorithm, A* algorithm, particle swarm algorithm, genetic algorithm, firefly algorithm, and artificial potential field method. The optimization and improvement of algorithms have made today's path planning technology more comprehensive and effectively improved the accuracy and efficiency of indoor service robot path planning. This article analyzes the development status of path planning technology for indoor environment service robot. Firstly, typical application scenarios are listed and the significance of path planning algorithms in them is introduced in combination with their application requirements. Then, some classic indoor scene path planning algorithms and improvement strategies are compared and analyzed. Finally, a summary and discussion of the above indoor environment intelligent robot path planning methods are presented.