REVISTA DYNA NEW TECHNOLOGIES

Key words:

Monte Carlo Method, Mobil robot, navigation, low complexity algorithms, método de monte carlo, robot movil, navegación, algoritmo de baja complejidad

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

RESEARCH ARTICLES

ABSTRACT:
The field of mobile robotics has been of great interest in recent decades; therefore, a variety of techniques has been proposed for its development. This article presents an algorithm for the navigation of mobile robots, using the location of particle filters, the Monte Carlo method, which uses the sampling technique to divide the state space into samples and thereby to increase the number of samples to discretion. To validate the proposed algorithm a mobile robot was constructed using ultrasonic sensors and a modified version of Dieter's algorithm. The results show that the proposed algorithm is computationally efficient with low complexity, easy to implement and produces accurate and efficient outputs. These findings may be useful for the development of robotic applications where position is critical, and accuracy is important. This proposal can be very useful in industrial applications.

Keywords: The Monte Carlo Localization, mobile robot, navigation, low complexity algorithms.