Path Planning for the Mobile Robot: A Review

By Han-ye Zhang, Wei-ming Lin, Aijuan Chen. Symmetry, 2018

419 citations recorded by the source corpus.

Good path planning technology of mobile robot can not only save a lot of time, but also reduce the wear and capital investment of mobile robot. Several methodologies have been proposed and reported in the literature for the path planning of mobile robot. Although these methodologies do not guarantee an optimal solution, they have been successfully applied in their works. The purpose of this paper is to review the modeling, optimization criteria and solution algorithms for the path planning of mobile robot. The survey shows GA (genetic algorithm), PSO (particle swarm optimization algorithm), APF (artificial potential field), and ACO (ant colony optimization algorithm) are the most used approaches to solve the path planning of mobile robot. Finally, future research is discussed which could provide reference for the path planning of mobile robot.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/e6051139e6078e6040612e9a6a23a68374fb6f1e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

  1. Alfonso J. García-Cerezo
  2. Carlos Jesús Pérez-del-Pulgar
  3. J. Sánchez-Ibáñez

In Computer Vision and Pattern Recognition

  1. Alfonso J. García-Cerezo
  2. Carlos Jesús Pérez-del-Pulgar
  3. J. Sánchez-Ibáñez

In Control and Systems Engineering

  1. Alfonso J. García-Cerezo
  2. Carlos Jesús Pérez-del-Pulgar
  3. J. Sánchez-Ibáñez

Citations in the corpus