Simultaneous localization and mapping trends and humanoid robot linkages

Simultaneous localization and mapping (SLAM), also known as concurrent mapping and localization (CML), is an important topic or robotics files. This method produces a real-time map of an environment and finds the current position of a robot on that map. This method is generally used to solve the pro...

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Main Authors:	Farshid Pirahansiah, Siti Norul Huda Sheikh Abdullah, Shahnorbanun Sahran
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2013
Online Access:	http://journalarticle.ukm.my/6644/ http://journalarticle.ukm.my/6644/ http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf

id	ukm-6644
recordtype	eprints
spelling	ukm-66442016-12-14T06:41:47Z http://journalarticle.ukm.my/6644/ Simultaneous localization and mapping trends and humanoid robot linkages Farshid Pirahansiah, Siti Norul Huda Sheikh Abdullah, Shahnorbanun Sahran, Simultaneous localization and mapping (SLAM), also known as concurrent mapping and localization (CML), is an important topic or robotics files. This method produces a real-time map of an environment and finds the current position of a robot on that map. This method is generally used to solve the problem of “Where am I?” for localization, “Where do I go?” for goal determination, and “How do I go there?” for robot motion planning. Recently, the number of studies in this area has increased rapidly and expanded to different areas. In this paper analyzes SLAM or CML, which is currently a hot topic in the field of robotic research. In addition, this paper describes methods for solving SLAM problems, presents evaluation methods for SLAM, analyzes recent research on SLAM worldwide, and studies the academic importance of SLAM. This paper also reviews the use of SLAM for humanoid robots and aims to address the issue of the significance of SLAM engine in the future of stereo vision on humanoid robots. Penerbit Universiti Kebangsaan Malaysia 2013-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf Farshid Pirahansiah, and Siti Norul Huda Sheikh Abdullah, and Shahnorbanun Sahran, (2013) Simultaneous localization and mapping trends and humanoid robot linkages. Asia-Pacific Journal of Information Technology and Multimedia, 2 (2). pp. 27-38. ISSN 2289-2192 http://ejournals.ukm.my/apjitm/index
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Simultaneous localization and mapping (SLAM), also known as concurrent mapping and localization (CML), is an important topic or robotics files. This method produces a real-time map of an environment and finds the current position of a robot on that map. This method is generally used to solve the problem of “Where am I?” for localization, “Where do I go?” for goal determination, and “How do I go there?” for robot motion planning. Recently, the number of studies in this area has increased rapidly and expanded to different areas. In this paper analyzes SLAM or CML, which is currently a hot topic in the field of robotic research. In addition, this paper describes methods for solving SLAM problems, presents evaluation methods for SLAM, analyzes recent research on SLAM worldwide, and studies the academic importance of SLAM. This paper also reviews the use of SLAM for humanoid robots and aims to address the issue of the significance of SLAM engine in the future of stereo vision on humanoid robots.
format	Article
author	Farshid Pirahansiah, Siti Norul Huda Sheikh Abdullah, Shahnorbanun Sahran,
spellingShingle	Farshid Pirahansiah, Siti Norul Huda Sheikh Abdullah, Shahnorbanun Sahran, Simultaneous localization and mapping trends and humanoid robot linkages
author_facet	Farshid Pirahansiah, Siti Norul Huda Sheikh Abdullah, Shahnorbanun Sahran,
author_sort	Farshid Pirahansiah,
title	Simultaneous localization and mapping trends and humanoid robot linkages
title_short	Simultaneous localization and mapping trends and humanoid robot linkages
title_full	Simultaneous localization and mapping trends and humanoid robot linkages
title_fullStr	Simultaneous localization and mapping trends and humanoid robot linkages
title_full_unstemmed	Simultaneous localization and mapping trends and humanoid robot linkages
title_sort	simultaneous localization and mapping trends and humanoid robot linkages
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2013
url	http://journalarticle.ukm.my/6644/ http://journalarticle.ukm.my/6644/ http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf
first_indexed	2023-09-18T19:47:30Z
last_indexed	2023-09-18T19:47:30Z
_version_	1777405998152024064

Simultaneous localization and mapping trends and humanoid robot linkages

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