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Design and Implementation of Smart Robots using AI, IoT, and DRL to Support Pilgrims and Umrah Performers in Mecca

by Salah ElDin Zaher Olaymi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 73
Year of Publication: 2025
Authors: Salah ElDin Zaher Olaymi
10.5120/ijca2025924583

Salah ElDin Zaher Olaymi . Design and Implementation of Smart Robots using AI, IoT, and DRL to Support Pilgrims and Umrah Performers in Mecca. International Journal of Computer Applications. 186, 73 ( Mar 2025), 9-17. DOI=10.5120/ijca2025924583

@article{ 10.5120/ijca2025924583,
author = { Salah ElDin Zaher Olaymi },
title = { Design and Implementation of Smart Robots using AI, IoT, and DRL to Support Pilgrims and Umrah Performers in Mecca },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2025 },
volume = { 186 },
number = { 73 },
month = { Mar },
year = { 2025 },
issn = { 0975-8887 },
pages = { 9-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number73/design-and-implementation-of-smart-robots-using-ai-iot-and-drl-to-support-pilgrims-and-umrah-performers-in-mecca/ },
doi = { 10.5120/ijca2025924583 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-03-25T22:41:34.264866+05:30
%A Salah ElDin Zaher Olaymi
%T Design and Implementation of Smart Robots using AI, IoT, and DRL to Support Pilgrims and Umrah Performers in Mecca
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 73
%P 9-17
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Hajj and Umrah are annual pilgrimages to Mecca that require accommodating millions of individuals in crowded and evolving environments, hence presenting major crowd management and accessibility challenges. It is recommended that smart robots powered by AI, IoT, and robotics be developed to provide real-time directions, communication, and emergency assistance to the pilgrims. The provided robots ensure a deep learning-based overall experience throughout their pilgrimage, such as deep reinforcement learning for locomotion optimization, natural linguistic processing for linguistics-aided support, and IoT-based group monitoring systems. Results that compare this framework against state-of-the-art crowd management methods demonstrate improvements in the accuracy of navigation.

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Index Terms

Computer Science
Information Sciences
Crowd Management
Robotics
Artificial Intelligence
Internet of Things
Deep Learning
Natural Language Processing

Keywords

Hajj Umrah Smart Robots Artificial Intelligence Internet of Things Deep Reinforcement Learning

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