Open Access

ARTICLE

Computing and Implementation of a Controlled Telepresence Robot

by Ali A. Altalbe^1,2,*, Aamir Shahzad³, Muhammad Nasir Khan⁴

1 Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia
2 Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
3 Department of Mechanical Engineering, The University of Lahore, Lahore, 54000, Pakistan
4 Department of Electrical Engineering, GC University Lahore, Lahore, 54000, Pakistan

* Corresponding Author: Ali A. Altalbe. Email:

(This article belongs to the Special Issue: Intelligent Systems for Smart and Sustainable Healthcare)

Intelligent Automation & Soft Computing 2023, 37(2), 1569-1585. https://doi.org/10.32604/iasc.2023.039124

Received 11 January 2023; Accepted 11 April 2023; Issue published 21 June 2023

Abstract

The development of human-robot interaction has been continuously increasing for the last decades. Through this development, it has become simpler and safe interactions using a remotely controlled telepresence robot in an insecure and hazardous environment. The audio-video communication connection or data transmission stability has already been well handled by fast-growing technologies such as 5G and 6G. However, the design of the physical parameters, e.g., maneuverability, controllability, and stability, still needs attention. Therefore, the paper aims to present a systematic, controlled design and implementation of a telepresence mobile robot. The primary focus of this paper is to perform the computational analysis and experimental implementation design with sophisticated position control, which autonomously controls the robot’s position and speed when reaching an obstacle. A system model and a position controller design are developed with root locus points. The design robot results are verified experimentally, showing the robot’s agreement and control in the desired position. The robot was tested by considering various parameters: driving straight ahead, right turn, self-localization and complex path. The results prove that the proposed approach is flexible and adaptable and gives a better alternative. The experimental results show that the proposed method significantly minimizes the obstacle hits.

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Keywords

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