SkyBot - A Novel Autonomous Window Cleaning Drone

Amal Al Hulaibi; Hawraa Wahid; Salem Al Saif; Jumanah Sadeq; Seyed Esmaeili; Marwa Kandil

doi:10.1109/ICECCE61019.2023.10442126

SkyBot - A Novel Autonomous Window Cleaning Drone

Amal Al Hulaibi
, Hawraa Wahid
, Salem Al Saif
, Jumanah Sadeq
, Seyed Esmaeili
, Marwa Kandil

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Modern skyscrapers with expansive glass facades demand an innovative solution for efficient and safe window cleaning. Conventional methods are labor-intensive, time-consuming, and costly, particularly on skyscrapers like the Burj Khalifa in Dubai. In this paper, SkyBot an autonomous window cleaning drone is introduced. Equipped with eight propellers driven by powerful motors and a lightweight carbon fiber structure, SkyBot ensures stability and strength at great heights. SkyBot has a carrying capacity of up to 11 kg of cleaning supplies, it is designed for portability, efficiency, and environmental friendliness. SkyBot’s cleaning mechanism incorporates a high-pressure washer and a powerful blower for effective cleaning. Real-time monitoring is made possible through live streaming video capabilities. Experimental results affirm that SkyBot has the potential to effectively shorten the cleaning cycle to around 40 days and reduce the operational cost by 47% when compared to conventional methods used to clean Burj-Khalifa. SkyBot represents a significant advancement in highrise building maintenance, offering an efficient and safe window cleaning solution for modern skyscrapers.

Original language	English
Title of host publication	4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350369694
DOIs	https://doi.org/10.1109/ICECCE61019.2023.10442126
State	Published - 27 Feb 2024
Event	4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023 - Dubai, United Arab Emirates Duration: 30 Dec 2023 → 31 Dec 2023

Publication series

Name	4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023

Conference

Conference	4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023
Country/Territory	United Arab Emirates
City	Dubai
Period	30/12/23 → 31/12/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Autonomous Robotics
Drone
High-rise maintenance
Window cleaning drone

Access to Document

10.1109/ICECCE61019.2023.10442126

Cite this

Al Hulaibi, A., Wahid, H., Al Saif, S., Sadeq, J., Esmaeili, S., & Kandil, M. (2024). SkyBot - A Novel Autonomous Window Cleaning Drone. In 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023 (4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECCE61019.2023.10442126

@inproceedings{a07ec8df78cf4fa3880702b09990c580,

title = "SkyBot - A Novel Autonomous Window Cleaning Drone",

abstract = "Modern skyscrapers with expansive glass facades demand an innovative solution for efficient and safe window cleaning. Conventional methods are labor-intensive, time-consuming, and costly, particularly on skyscrapers like the Burj Khalifa in Dubai. In this paper, SkyBot an autonomous window cleaning drone is introduced. Equipped with eight propellers driven by powerful motors and a lightweight carbon fiber structure, SkyBot ensures stability and strength at great heights. SkyBot has a carrying capacity of up to 11 kg of cleaning supplies, it is designed for portability, efficiency, and environmental friendliness. SkyBot{\textquoteright}s cleaning mechanism incorporates a high-pressure washer and a powerful blower for effective cleaning. Real-time monitoring is made possible through live streaming video capabilities. Experimental results affirm that SkyBot has the potential to effectively shorten the cleaning cycle to around 40 days and reduce the operational cost by 47\% when compared to conventional methods used to clean Burj-Khalifa. SkyBot represents a significant advancement in highrise building maintenance, offering an efficient and safe window cleaning solution for modern skyscrapers.",

keywords = "Autonomous Robotics, Drone, High-rise maintenance, Window cleaning drone",

author = "\{Al Hulaibi\}, Amal and Hawraa Wahid and \{Al Saif\}, Salem and Jumanah Sadeq and Seyed Esmaeili and Marwa Kandil",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023 ; Conference date: 30-12-2023 Through 31-12-2023",

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Al Hulaibi, A, Wahid, H, Al Saif, S, Sadeq, J, Esmaeili, S & Kandil, M 2024, SkyBot - A Novel Autonomous Window Cleaning Drone. in 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023. 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023, Institute of Electrical and Electronics Engineers Inc., 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023, Dubai, United Arab Emirates, 30/12/23. https://doi.org/10.1109/ICECCE61019.2023.10442126

SkyBot - A Novel Autonomous Window Cleaning Drone. / Al Hulaibi, Amal; Wahid, Hawraa; Al Saif, Salem et al.
4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023. Institute of Electrical and Electronics Engineers Inc., 2024. (4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - SkyBot - A Novel Autonomous Window Cleaning Drone

AU - Al Hulaibi, Amal

AU - Wahid, Hawraa

AU - Al Saif, Salem

AU - Sadeq, Jumanah

AU - Esmaeili, Seyed

AU - Kandil, Marwa

PY - 2024/2/27

Y1 - 2024/2/27

N2 - Modern skyscrapers with expansive glass facades demand an innovative solution for efficient and safe window cleaning. Conventional methods are labor-intensive, time-consuming, and costly, particularly on skyscrapers like the Burj Khalifa in Dubai. In this paper, SkyBot an autonomous window cleaning drone is introduced. Equipped with eight propellers driven by powerful motors and a lightweight carbon fiber structure, SkyBot ensures stability and strength at great heights. SkyBot has a carrying capacity of up to 11 kg of cleaning supplies, it is designed for portability, efficiency, and environmental friendliness. SkyBot’s cleaning mechanism incorporates a high-pressure washer and a powerful blower for effective cleaning. Real-time monitoring is made possible through live streaming video capabilities. Experimental results affirm that SkyBot has the potential to effectively shorten the cleaning cycle to around 40 days and reduce the operational cost by 47% when compared to conventional methods used to clean Burj-Khalifa. SkyBot represents a significant advancement in highrise building maintenance, offering an efficient and safe window cleaning solution for modern skyscrapers.

AB - Modern skyscrapers with expansive glass facades demand an innovative solution for efficient and safe window cleaning. Conventional methods are labor-intensive, time-consuming, and costly, particularly on skyscrapers like the Burj Khalifa in Dubai. In this paper, SkyBot an autonomous window cleaning drone is introduced. Equipped with eight propellers driven by powerful motors and a lightweight carbon fiber structure, SkyBot ensures stability and strength at great heights. SkyBot has a carrying capacity of up to 11 kg of cleaning supplies, it is designed for portability, efficiency, and environmental friendliness. SkyBot’s cleaning mechanism incorporates a high-pressure washer and a powerful blower for effective cleaning. Real-time monitoring is made possible through live streaming video capabilities. Experimental results affirm that SkyBot has the potential to effectively shorten the cleaning cycle to around 40 days and reduce the operational cost by 47% when compared to conventional methods used to clean Burj-Khalifa. SkyBot represents a significant advancement in highrise building maintenance, offering an efficient and safe window cleaning solution for modern skyscrapers.

KW - Autonomous Robotics

KW - Drone

KW - High-rise maintenance

KW - Window cleaning drone

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DO - 10.1109/ICECCE61019.2023.10442126

M3 - Conference contribution

AN - SCOPUS:85187215284

T3 - 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023

BT - 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023

Y2 - 30 December 2023 through 31 December 2023

ER -

Al Hulaibi A, Wahid H, Al Saif S, Sadeq J, Esmaeili S, Kandil M. SkyBot - A Novel Autonomous Window Cleaning Drone. In 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023. Institute of Electrical and Electronics Engineers Inc. 2024. (4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023). doi: 10.1109/ICECCE61019.2023.10442126

SkyBot - A Novel Autonomous Window Cleaning Drone

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this