EVALUATION OF ROBOTIC CLEANING TECHNOLOGIES: PRESERVING A BRITISH ICONIC BUILDING
The engineering building of the University Leicester built-in 1963 has been a British icon for decades now. Applications of Robotic technologies are uprising nowadays, which provides a contingency to manipulate the benefits of robotics for executing challenging and precarious facade cleaning process...
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Format: | Article |
Language: | English |
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Polish Association for Knowledge Promotion
2020-06-01
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Series: | Applied Computer Science |
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Online Access: | http://acs.pollub.pl/pdf/v16n2/7.pdf |
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author | Ahmed A.H. HAQQANI Seenu N Mukund JANARDHANAN Kuppan Chetty RM |
author_facet | Ahmed A.H. HAQQANI Seenu N Mukund JANARDHANAN Kuppan Chetty RM |
author_sort | Ahmed A.H. HAQQANI |
collection | DOAJ |
description | The engineering building of the University Leicester built-in 1963 has been a British icon for decades now. Applications of Robotic technologies are uprising nowadays, which provides a contingency to manipulate the benefits of robotics for executing challenging and precarious facade cleaning processes. This paper surveys the facade cleaning robotic technologies exist in the market. It exhibits the comparative analysis of four notorious robotic facade cleaning solutions namely Sky Pro, Gekko, BFMR (Building Façade Maintenance Robot) and Sirius_c. The comparison is executed using Multi Criteria Decision Analysis (MCDA) and Quality Function Deployment (QFD) techniques. This study analyses the performance of the robots based on the critical parameters such as water consumption, cleaning efficiency, cleaning dimensions and ease of implementation. Although none of these robotic solutions are implemented off the shelf, some adaptation on these solutions is necessary for the development of robotic techniques work successfully in real time. This paper proposes a hybrid robotic solution combining the vacuum pump adhesion and wheeled locomotion for the effective cleaning of the complex external building structure based on the MCDA and QFD analysis. It highlights the significant future research directions in this field. |
first_indexed | 2024-12-20T15:44:11Z |
format | Article |
id | doaj.art-159d5479dd1346bbbd19ecd782e1b6ec |
institution | Directory Open Access Journal |
issn | 1895-3735 2353-6977 |
language | English |
last_indexed | 2024-12-20T15:44:11Z |
publishDate | 2020-06-01 |
publisher | Polish Association for Knowledge Promotion |
record_format | Article |
series | Applied Computer Science |
spelling | doaj.art-159d5479dd1346bbbd19ecd782e1b6ec2022-12-21T19:35:04ZengPolish Association for Knowledge PromotionApplied Computer Science1895-37352353-69772020-06-011629511110.23743/acs-2020-15EVALUATION OF ROBOTIC CLEANING TECHNOLOGIES: PRESERVING A BRITISH ICONIC BUILDINGAhmed A.H. HAQQANI0Seenu N1Mukund JANARDHANAN 2https://orcid.org/0000-0002-8170-2738Kuppan Chetty RM 3https://orcid.org/0000-0002-2419-938XUniversity of Leicester, School of Engineering, Mechanics of Materials Research Group, University Rd, Leicester LE1 7RH, United KingdomHindustan Institute of Technology and Science, Center for Automation and Robotics, School of Mechanical Sciences, Rajiv Gandhi Salai (OMR), Padur, Kelambakam, Chennai, Tamil Nadu 603103, Chennai, IndiaUniversity of Leicester, School of Engineering, Mechanics of Materials Research Group, University Rd, Leicester LE1 7RH, United Kingdom, mukund.janardhanan@leicester.ac.ukHindustan Institute of Technology and Science, Center for Automation and Robotics, School of Mechanical Sciences, Rajiv Gandhi Salai (OMR), Padur, Kelambakam, Chennai, Tamil Nadu 603103, Chennai, India, kuppanc@hindustanuniv.ac.inThe engineering building of the University Leicester built-in 1963 has been a British icon for decades now. Applications of Robotic technologies are uprising nowadays, which provides a contingency to manipulate the benefits of robotics for executing challenging and precarious facade cleaning processes. This paper surveys the facade cleaning robotic technologies exist in the market. It exhibits the comparative analysis of four notorious robotic facade cleaning solutions namely Sky Pro, Gekko, BFMR (Building Façade Maintenance Robot) and Sirius_c. The comparison is executed using Multi Criteria Decision Analysis (MCDA) and Quality Function Deployment (QFD) techniques. This study analyses the performance of the robots based on the critical parameters such as water consumption, cleaning efficiency, cleaning dimensions and ease of implementation. Although none of these robotic solutions are implemented off the shelf, some adaptation on these solutions is necessary for the development of robotic techniques work successfully in real time. This paper proposes a hybrid robotic solution combining the vacuum pump adhesion and wheeled locomotion for the effective cleaning of the complex external building structure based on the MCDA and QFD analysis. It highlights the significant future research directions in this field.http://acs.pollub.pl/pdf/v16n2/7.pdfwall climbing robotmulti criteria decision analysiscleaning robotquality function deployment |
spellingShingle | Ahmed A.H. HAQQANI Seenu N Mukund JANARDHANAN Kuppan Chetty RM EVALUATION OF ROBOTIC CLEANING TECHNOLOGIES: PRESERVING A BRITISH ICONIC BUILDING Applied Computer Science wall climbing robot multi criteria decision analysis cleaning robot quality function deployment |
title | EVALUATION OF ROBOTIC CLEANING TECHNOLOGIES: PRESERVING A BRITISH ICONIC BUILDING |
title_full | EVALUATION OF ROBOTIC CLEANING TECHNOLOGIES: PRESERVING A BRITISH ICONIC BUILDING |
title_fullStr | EVALUATION OF ROBOTIC CLEANING TECHNOLOGIES: PRESERVING A BRITISH ICONIC BUILDING |
title_full_unstemmed | EVALUATION OF ROBOTIC CLEANING TECHNOLOGIES: PRESERVING A BRITISH ICONIC BUILDING |
title_short | EVALUATION OF ROBOTIC CLEANING TECHNOLOGIES: PRESERVING A BRITISH ICONIC BUILDING |
title_sort | evaluation of robotic cleaning technologies preserving a british iconic building |
topic | wall climbing robot multi criteria decision analysis cleaning robot quality function deployment |
url | http://acs.pollub.pl/pdf/v16n2/7.pdf |
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