Mapping of wireless network quality of an unknown environment using slam algorithms for self-sustaining autonomous robots

Sami Karali, Tennessee State University

Abstract

This research aims to achieve the objective of creating a reliable network coverage map of an unknown environment while a self- sustaining robot is simultaneously localizing and mapping the environment. It is uncommon on the research field to combine these two ideas, and therefore, this research project focuses of this. A self-sustaining robot needs to sustain itself without human intervention, so it is necessary to localize itself in an unknown environment, map it, keep always in communication with the main server for them to stay always in the operation and succeed in the given tasks. The mobile robot is designed to work indoor/outdoor and it optimizes the communication resources with the main server to save the CPU and all other resources.^

Subject Area

Computer science

Recommended Citation

Sami Karali, "Mapping of wireless network quality of an unknown environment using slam algorithms for self-sustaining autonomous robots" (2016). ETD Collection for Tennessee State University. Paper AAI10241554.
http://digitalscholarship.tnstate.edu/dissertations/AAI10241554

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