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
N1 - Publisher Copyright:
© 2023 IEEE.
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
UR - http://www.scopus.com/inward/record.url?scp=85187215284&partnerID=8YFLogxK
U2 - 10.1109/ICECCE61019.2023.10442126
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 -
