Simultaneous Localization and Mapping

  K. Nirmalakumari,  Amrit Pal Kaur,  Puja V Patil

This paper presents an approach for unknown indoor environment exploration using a simultaneous localization and mapping system. SLAM is the process by which a mobile robot can build a map of an environment and at the same time use this map to compute its own location. We propose a SLAM system using ARDUINO board. The algorithm accuracy in the real scenario test is not comparable to more complex EKF-SLAM algorithm. SLAM is a technique applied in artificial intelligence mobile robot for self exploration in numerous geographical environments. SLAM becomes fundamental research area in recent days as it promising solution in solving most of problems which related to the self exploratory oriented artificial intelligence mobile robot field. For example, the capability to explore without any prior knowledge on environment it explores and without any human interference. The unique feature in SLAM is that the process of mapping and localization is done concurrently and recursively.

Keywords- SLAM

Unique Identification Number - IJEDR1702042
Page Number(s) - 253-256
Pubished in - Volume 5 | Issue 2 | April 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  K. Nirmalakumari,  Amrit Pal Kaur,  Puja V Patil,   "Simultaneous Localization and Mapping", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.253-256, April 2017, Available at :http://www.ijedr.org/papers/IJEDR1702042.pdf