
Localization and Navigation Analysis of Mobile Robot Based on SLAM
Author(s) -
Juan An,
Hairong Mou,
Rui Lu,
LI You-bing
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1827/1/012089
Subject(s) - mobile robot , robot , mobile robot navigation , artificial intelligence , computer science , simultaneous localization and mapping , computer vision , transformation (genetics) , positioning technology , robotics , real time computing , human–computer interaction , robot control , biochemistry , chemistry , gene
In recent years, many advanced computer technologies have appeared on the market, for example, artificial intelligence. With the maturity of artificial intelligence technology, the transformation of intelligent robots are also more perfect. The difficulty that we have always wanted to break through is to install positioning navigation on mobile robots. Through continuous efforts, the navigation and positioning technology on the robot can now be used proficiently in a known environment, but we need further research when using it in an unknown environment. In the navigation and positioning technology, it introduced simultaneous positioning and map construction algorithms (SLAM, simultaneous localization and mapping). The algorithm can learn about the surrounding environment information through the sensors carried by the robot. If this algorithm can be skillfully applied to navigation and positioning technology, I believe it will be helpful for the application of positioning and navigation technology in unknown environments.