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/6644/1/4429-10302-1-SM.pdf
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author Farshid Pirahansiah,
Siti Norul Huda Sheikh Abdullah,
Shahnorbanun Sahran,
author_facet Farshid Pirahansiah,
Siti Norul Huda Sheikh Abdullah,
Shahnorbanun Sahran,
author_sort Farshid Pirahansiah,
collection UKM
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.
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spelling ukm.eprints-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
spellingShingle Farshid Pirahansiah,
Siti Norul Huda Sheikh Abdullah,
Shahnorbanun Sahran,
Simultaneous localization and mapping trends and humanoid robot linkages
title 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_short Simultaneous localization and mapping trends and humanoid robot linkages
title_sort simultaneous localization and mapping trends and humanoid robot linkages
url http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf
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