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Navigation Robot Covid With 3D LiDAR Using RTAB-MAP Method

Muhamad Ardiansyah Putra Wibowo, Sami Fauzan Ramadhan, Arjon Turnip

Year
2022
Citations
4
Access
Open access

Abstract

Abstract The current pandemic has had a profound impact on people’s daily lives. This is because the COVID-19 virus is spread through the air. Technology such as autonomous robots can be the best solution to contain the spread of COVID-19. This study aims to develop an autonomous robot using 3D LiDAR to obtain 3D mapping. The method used is to use RTAB-MAP, namely the 3D SLAM method to get the mapping results. The result of this paper is that 3D LiDAR using RTAB-MAP gets good results when 3D LiDAR conditions are at a height of 150cm and 180cm with 18W lamp lighting.

Keywords

LidarCoronavirus disease 2019 (COVID-19)RobotSimultaneous localization and mappingComputer visionComputer scienceArtificial intelligenceRemote sensingDroneGeography

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