Beta
404118

The Evolution of Firefighting Robots: Bridging Technology and Safety: A Comprehensive Review

Article

Last updated: 13 Jan 2025

Subjects

-

Tags

Artificial Intelligence and Applications.

Abstract

Firefighting robots improve safety and efficiency by reducing human risk in dangerous environments. These robots are designed to navigate tight and complex spaces and use sensors, like ultrasonic and flame sensors, to find and put out fires on their own. Controlled by small, powerful computers such as Arduino, Raspberry Pi, or NVIDIA, they use machine learning to make decisions in real time based on data from their sensors. Equipped with fire-extinguishing tools like water or foam dispensers, these robots play a vital role in modern fire response. Innovations like night vision and radio frequency (RF) communication help them operate in extreme conditions. Firefighting is a dangerous job, with firefighters often facing life-threatening situations, such as thick smoke, poor visibility, and unstable structures. These risks make firefighting dangerous, but robots can help reduce these dangers by performing tasks that are too risky for humans. With advanced technologies like sensors, cameras, Artificial Intelligence (AI) algorithms, and fire-extinguishing systems, firefighting robots can detect and put out fires, navigate difficult environments, and provide real-time data to firefighters. These robots are especially useful in high-risk areas, such as factories or homes where fires may be caused by gas leaks or electrical faults. Some designs include remote controls and video systems, allowing safe operation from a distance.

DOI

10.21608/astj.2025.343718.1021

Keywords

Raspberry Pi, Night Vision, Firefighting robots Localization, Fire suppression-mechanisms

Authors

First Name

Basel

Last Name

Eslam

MiddleName

-

Affiliation

Software Engineering and Information Technology, Faculty of Engineering and Technology, Egyptian Chinese University, Cairo, Egypt

Email

192000022@ecu.edu.eg

City

-

Orcid

-

First Name

Abanoub

Last Name

Samir

MiddleName

-

Affiliation

Software Engineering and Information Technology, Faculty of Engineering and Technology, Egyptian Chinese University, Cairo, Egypt

Email

192000176@ecu.edu.eg

City

-

Orcid

-

First Name

Mark

Last Name

Osama

MiddleName

-

Affiliation

Software Engineering and Information Technology, Faculty of Engineering and Technology, Egyptian Chinese University, Cairo, Egypt

Email

192000060@ecu.edu.eg

City

-

Orcid

-

First Name

Modather

Last Name

Moustafa

MiddleName

-

Affiliation

Software Engineering and Information Technology, Faculty of Engineering and Technology, Egyptian Chinese University, Cairo, Egypt

Email

192000250@ecu.edu.eg

City

-

Orcid

-

First Name

Mayar

Last Name

Ali

MiddleName

-

Affiliation

Software Engineering and Information Technology, Faculty of Engineering and Technology, Egyptian Chinese University, Cairo, Egypt

Email

mayar.ali@ecu.edu.eg

City

-

Orcid

0009-0002-0260-4855

Volume

2

Article Issue

1

Related Issue

52489

Issue Date

2025-06-01

Receive Date

2024-12-11

Publish Date

2025-01-09

Page Start

1

Page End

15

Online ISSN

3009-7614

Link

https://astj.journals.ekb.eg/article_404118.html

Detail API

http://journals.ekb.eg?_action=service&article_code=404118

Order

404,118

Type

Original Article

Type Code

3,083

Publication Type

Journal

Publication Title

Advanced Sciences and Technology Journal

Publication Link

https://astj.journals.ekb.eg/

MainTitle

The Evolution of Firefighting Robots: Bridging Technology and Safety: A Comprehensive Review

Details

Type

Article

Created At

13 Jan 2025