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Indoor mapping using SLAM for applications in Flexible Manufacturing Systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

This paper presents a Simultaneous Localization and Mapping (SLAM) architecture applied to the autonomous navigation of an Automated Guided Vehicle (AGV) within a Flexible Manufacturing System (FMS). One of the key factors to integrate an AGV into a FMS is related to pick and place tasks, where the AGV is capable to pick and deliver objects within the FSM. To achieve such task, the AGV must first recognize the environment and then navigate throughout the FSM autonomously. Here, we present how a mobile robot can be used for indoor positioning and mapping of an industrial facility. To this purpose, we have developed an open-source software package based on the Robot Operating System (ROS) platform that can be easily integrated into an AGV such as the KUKA youBot. This article describes the ROS-based metapackage called kuka youbot arch and the experiments carried out for assessing the SLAM arquitecture performance in terms of mapping accuracy and proper navigation within de FSM.

Original languageEnglish
Title of host publication2015 IEEE 2nd Colombian Conference on Automatic Control, CCAC 2015 - Conference Proceedings
EditorsGustavo Adolfo Osorio
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467393058
DOIs
StatePublished - 02 Dec 2015
Event2nd IEEE Colombian Conference on Automatic Control, CCAC 2015 - Manizales, Colombia
Duration: 14 Oct 201516 Oct 2015

Publication series

Name2015 IEEE 2nd Colombian Conference on Automatic Control, CCAC 2015 - Conference Proceedings

Conference

Conference2nd IEEE Colombian Conference on Automatic Control, CCAC 2015
Country/TerritoryColombia
CityManizales
Period14/10/1516/10/15

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