z-logo
open-access-imgOpen Access
Autonomous navigation in unknown environment using sliding mode SLAM and genetic algorithm
Author(s) -
Salvador Ortiz,
Wen Yu
Publication year - 2021
Publication title -
intelligence and robotics
Language(s) - English
Resource type - Journals
ISSN - 2770-3541
DOI - 10.20517/ir.2021.09
Subject(s) - simultaneous localization and mapping , bounded function , computer science , motion planning , mode (computer interface) , genetic algorithm , artificial intelligence , algorithm , path (computing) , computer vision , mobile robot , robot , mathematics , machine learning , mathematical analysis , programming language , operating system
In this paper, sliding mode control is combined with the classical simultaneous localization and mapping (SLAM) method. This combination can overcome the problem of bounded uncertainties in SLAM. With the help of genetic algorithm, our novel path planning method shows many advantages compared with other popular methods.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here