A Low-Cost, Light-Weight Climbing Robot for Inspection of Class Curtains
This paper presents design of a climbing robot for inspection of glass curtain walls. The double-chamber structure enables the robot to climb over grooves on the glasses. In order to reduce the weight, both number and shape of the chambers are specially considered, and the pressure structure is opti...
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2014-07-01
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Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.5772/58710 |
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doaj-0c1feda5ba5747738edecb4d1d3c500e2020-11-25T03:43:31ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142014-07-011110.5772/5871010.5772_58710A Low-Cost, Light-Weight Climbing Robot for Inspection of Class CurtainsRan Liang0Meteb Altaf1Eball Ahmad2Rong Liu3Ke Wang4 Robotics Institute, School of Mechanical Engineering and Automation, Beihang university, Beijing, China National Robotics & Intelligent Systems center King AbdulAziz City for Science and Technology Saudi Arabia, Riyadh, Saudi Arabia National Robotics & Intelligent Systems center King AbdulAziz City for Science and Technology Saudi Arabia, Riyadh, Saudi Arabia Robotics Institute, School of Mechanical Engineering and Automation, Beihang university, Beijing, China Arts et Métiers ParisTech Design, Manufacturing and Control Laboratory (LCFC), Paris, FranceThis paper presents design of a climbing robot for inspection of glass curtain walls. The double-chamber structure enables the robot to climb over grooves on the glasses. In order to reduce the weight, both number and shape of the chambers are specially considered, and the pressure structure is optimized by FEA method. The statics models of different adsorption situations are also analyzed and deduced for the operational safety. In addition, design of the working arm and the wireless control system are introduced in detail. Finally, experiments of the robot are illustrated, including adsorption on different surfaces, vertical and horizontal groove-crossing as well as glass inspection. These experiments fully prove the theoretical analysis and demonstrate the climbing performance of the robot.https://doi.org/10.5772/58710 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ran Liang Meteb Altaf Eball Ahmad Rong Liu Ke Wang |
spellingShingle |
Ran Liang Meteb Altaf Eball Ahmad Rong Liu Ke Wang A Low-Cost, Light-Weight Climbing Robot for Inspection of Class Curtains International Journal of Advanced Robotic Systems |
author_facet |
Ran Liang Meteb Altaf Eball Ahmad Rong Liu Ke Wang |
author_sort |
Ran Liang |
title |
A Low-Cost, Light-Weight Climbing Robot for Inspection of Class Curtains |
title_short |
A Low-Cost, Light-Weight Climbing Robot for Inspection of Class Curtains |
title_full |
A Low-Cost, Light-Weight Climbing Robot for Inspection of Class Curtains |
title_fullStr |
A Low-Cost, Light-Weight Climbing Robot for Inspection of Class Curtains |
title_full_unstemmed |
A Low-Cost, Light-Weight Climbing Robot for Inspection of Class Curtains |
title_sort |
low-cost, light-weight climbing robot for inspection of class curtains |
publisher |
SAGE Publishing |
series |
International Journal of Advanced Robotic Systems |
issn |
1729-8814 |
publishDate |
2014-07-01 |
description |
This paper presents design of a climbing robot for inspection of glass curtain walls. The double-chamber structure enables the robot to climb over grooves on the glasses. In order to reduce the weight, both number and shape of the chambers are specially considered, and the pressure structure is optimized by FEA method. The statics models of different adsorption situations are also analyzed and deduced for the operational safety. In addition, design of the working arm and the wireless control system are introduced in detail. Finally, experiments of the robot are illustrated, including adsorption on different surfaces, vertical and horizontal groove-crossing as well as glass inspection. These experiments fully prove the theoretical analysis and demonstrate the climbing performance of the robot. |
url |
https://doi.org/10.5772/58710 |
work_keys_str_mv |
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1724519375877177344 |