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AUTHOR(S):

Ghulam E. Mustafa Abro, Mujaheed Saleh Abdullahi, Jayasankari Ganasan, Sumayema Kabir Ricky

 

TITLE

Prototyping an IoT-enabled Autonomous Unmanned Ground Vehicle Using SLAM

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ABSTRACT

Any system that has a capability to perform any dull, difficult, dangerous, or dirty task without any support of human being, such type of system is known as Autonomous systems. In today’s era, there is a boom of such autonomous systems and in fact they are now gradually replacing human beings. In the catalogue of such autonomous systems robotic manipulators are very common and famous. This is because of their ability to pick and drop the heavy and sensitive packages from one place to another. There are also various autonomous vehicles that detect the safe and familiar paths, this detection is known as path following and tracking phenomena. These autonomous vehicles have more accuracy than an ordinary human being and with their usage one may maximize the efficiency and productivity of any industrial plant. Similarly in the field of information and communication technology, Internet of things (IoT) has been also one the trending topics. Thus, this manuscript presents the prototyping of an IoT-enabled autonomous unmanned ground vehicle (AUGV) which will not only follow the familiar path autonomously and avoid the obstacles using simultaneously localization and mapping (SLAM) but will also update the fundamental parameters of its surroundings i.e., temperature, pressure, humidity, detection of hazardous gas and exact location on provided internet protocol (IP). The reader will be able to understand the implementation of SLAM based path following and IoT-based data acquisition. These features make this prototype one of its kinds to be opted in various conditions

KEYWORDS

Autonomous, UGV, Robotics, SLAM, IoT-enabled systems, Data Acquisiton

 

Cite this paper

Ghulam E. Mustafa Abro, Mujaheed Saleh Abdullahi, Jayasankari Ganasan, Sumayema Kabir Ricky. (2021) Prototyping an IoT-enabled Autonomous Unmanned Ground Vehicle Using SLAM. International Journal of Control Systems and Robotics, 6, 34-40

 

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