Mapping of unknown industrial plant using ROS-based navigation mobile robot

Mapping of unknown industrial plant using ROS-based navigation mobile robot

This research examines how humans work with teleoperated unmanned mobile robot inspection in industrial plant area resulting 2D/3D map for further critical evaluation. This experiment focuses on two parts, the way human-robot doing remote interactions using robust method and the way robot perceives...

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Bibliographic Details
Main Authors: Priyandoko, Gigih, Ming, T. Y., Achmad, Hendriyawan
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/25447/
http://umpir.ump.edu.my/id/eprint/25447/
http://umpir.ump.edu.my/id/eprint/25447/1/Mapping%20of%20unknown%20industrial%20plant.pdf
id ump-25447
recordtype eprints
spelling ump-254472019-07-18T07:40:12Z http://umpir.ump.edu.my/id/eprint/25447/ Mapping of unknown industrial plant using ROS-based navigation mobile robot Priyandoko, Gigih Ming, T. Y. Achmad, Hendriyawan TK Electrical engineering. Electronics Nuclear engineering This research examines how humans work with teleoperated unmanned mobile robot inspection in industrial plant area resulting 2D/3D map for further critical evaluation. This experiment focuses on two parts, the way human-robot doing remote interactions using robust method and the way robot perceives the environment surround as a 2D/3D perspective map. ROS (robot operating system) as a tool was utilized in the development and implementation during the research which comes up with robust data communication method in the form of messages and topics. RGBD SLAM performs the visual mapping function to construct 2D/3D map using Kinect sensor. The results showed that the mobile robot-based teleoperated system are successful to extend human perspective in term of remote surveillance in large area of industrial plant. It was concluded that the proposed work is robust solution for large mapping within an unknown construction building. IOP Publishing 2017 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/25447/1/Mapping%20of%20unknown%20industrial%20plant.pdf Priyandoko, Gigih and Ming, T. Y. and Achmad, Hendriyawan (2017) Mapping of unknown industrial plant using ROS-based navigation mobile robot. In: IOP Conference Series: Materials Science and Engineering, 4th International Conference on Mechanical Engineering Research (ICMER2017), 1-2 August 2017 , Kuantan, Pahang, Malaysia. pp. 1-6., 257 (012088). https://doi.org/10.1088/1757-899X/257/1/012088
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Priyandoko, Gigih
Ming, T. Y.
Achmad, Hendriyawan
Mapping of unknown industrial plant using ROS-based navigation mobile robot
description This research examines how humans work with teleoperated unmanned mobile robot inspection in industrial plant area resulting 2D/3D map for further critical evaluation. This experiment focuses on two parts, the way human-robot doing remote interactions using robust method and the way robot perceives the environment surround as a 2D/3D perspective map. ROS (robot operating system) as a tool was utilized in the development and implementation during the research which comes up with robust data communication method in the form of messages and topics. RGBD SLAM performs the visual mapping function to construct 2D/3D map using Kinect sensor. The results showed that the mobile robot-based teleoperated system are successful to extend human perspective in term of remote surveillance in large area of industrial plant. It was concluded that the proposed work is robust solution for large mapping within an unknown construction building.
format Conference or Workshop Item
author Priyandoko, Gigih
Ming, T. Y.
Achmad, Hendriyawan
author_facet Priyandoko, Gigih
Ming, T. Y.
Achmad, Hendriyawan
author_sort Priyandoko, Gigih
title Mapping of unknown industrial plant using ROS-based navigation mobile robot
title_short Mapping of unknown industrial plant using ROS-based navigation mobile robot
title_full Mapping of unknown industrial plant using ROS-based navigation mobile robot
title_fullStr Mapping of unknown industrial plant using ROS-based navigation mobile robot
title_full_unstemmed Mapping of unknown industrial plant using ROS-based navigation mobile robot
title_sort mapping of unknown industrial plant using ros-based navigation mobile robot
publisher IOP Publishing
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/25447/
http://umpir.ump.edu.my/id/eprint/25447/
http://umpir.ump.edu.my/id/eprint/25447/1/Mapping%20of%20unknown%20industrial%20plant.pdf
first_indexed 2023-09-18T22:39:05Z
last_indexed 2023-09-18T22:39:05Z
_version_ 1777416793392939008

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