Application SLAM and Path Planning using A-Star Algorithm for Mobile Robot in Indoor Disaster Area

Son Kuswadi, Jeffri Wahyu Santoso, M. Nasyir Tamara, Mohammad Nuh

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

19 Citations (Scopus)

Abstract

Mapping on the mobile robot is a mobile robot's ability to map the position of the mobile robot when the mobile robot moves in a room. The result of mapping on the mobile robot is a two-dimensional map that describes the mobile robot movement on the route that has been passed. This two-dimensional map is generated by using the SLAM (Simultaneous Localization and Mapping) method. The two-dimensional map can be used to determine the shape of the room To determine the shortest path on the map, the A-Star method is used. We develop a mobile robot that equipped by ultrasonic sensors to determine the shape of the field, then using a rotary encoder to determine the position of the robot in cartesian coordinates. An INS sensor is utilized to determine the direction of the mobile robot, which we then experimentally implement the method.

Original languageEnglish
Title of host publication2018 International Electronics Symposium on Engineering Technology and Applications, IES-ETA 2018 - Proceedings
EditorsAhmad Zainudin, Farid Dwi Murdianto, Fahim Nur Cahya Bagar, Ida Anisah, Martianda Erste Anggraeni
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages270-274
Number of pages5
ISBN (Electronic)9781538680834
DOIs
Publication statusPublished - 2 Jul 2018
Event20th International Electronics Symposium on Engineering Technology and Applications, IES-ETA 2018 - Bali, Indonesia
Duration: 29 Oct 201830 Oct 2018

Publication series

Name2018 International Electronics Symposium on Engineering Technology and Applications, IES-ETA 2018 - Proceedings

Conference

Conference20th International Electronics Symposium on Engineering Technology and Applications, IES-ETA 2018
Country/TerritoryIndonesia
CityBali
Period29/10/1830/10/18

Keywords

  • A-Star
  • SLAM
  • Two-dimensional Map
  • Ultrasonic Sensor

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