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A Novel Nested Reconfigurable Approach for a Glass Façade Cleaning Robot

Shunsuke Nansai, Mohan Rajesh Elara, Thein Than Tun, Prabakaran Veerajagadheswar, Thejus Pathmakumar

Year
2017
Citations
23
Access
Open access

Abstract

The façade cleaning of high rise buildings is one of the hazardous tasks that is performed by human operators. Even after a significant advancement in construction technologies, several newfangled skyscrapers are still using the manual method for cleaning the glass panels. This research is aimed at the development of a glass façade cleaning robot, capable of adapting to any kind of building architecture. A robotic system capable of cleaning vertical glass surfaces demands a transformable morphology. A self-reconfigurable robot is one of the potential solutions to realize high degrees of adaptability. Following the design principles we derived, we propose a nested reconfigurable design approach for glass façade cleaning and develope a system of robot modules that performs glass façade cleaning. Throughout this research article, we discuss the brief concept and scheme of nested reconfigurable design principle and the hardware-software challenges associated with it. This article also discusses the capability to maximize the flexibility and modularity of the robot by using intra- and inter-reconfigurations. The effectiveness of the designed system is verified by experimental means.

Keywords

Flexibility (engineering)Modularity (biology)RobotAdaptabilityComputer scienceScheme (mathematics)Embedded systemEngineeringArtificial intelligence

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