Simultaneous localization and mapping trends and humanoid robot linkages

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

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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.

Item Type:Article
Keywords:Visual Simultaneous Localization (Localisation) and Mapping; VSLAM; Concurrent Mapping and Localization (CML); humanoid robot; stereo vision on SLAM; 3D vision
Journal:Asia - Pasific Journal of Information Technology and Multimedia (Formerly Jurnal Teknologi Maklumat dan Multimedia)
ID Code:6644
Deposited By: ms aida -
Deposited On:07 Nov 2013 08:06
Last Modified:14 Dec 2016 06:41

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