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AuthorJahanshahi, Mohammad R.
AuthorShen, Wei-Men
AuthorMondal, Tarutal Ghosh
AuthorAbdelbarr, Mohamed
AuthorMasri, Sami F.
AuthorQidwai, Uvais A.
Available date2020-12-02T07:03:50Z
Publication Date2017
Publication NameInternational Journal of Intelligent Robotics and Applications
ResourceScopus
ISSN23665971
URIhttp://dx.doi.org/10.1007/s41315-017-0024-8
URIhttp://hdl.handle.net/10576/17137
AbstractAutonomous monitoring of infrastructure systems offers a promising alternative to manual inspection techniques which are mostly tedious, expensive and prone to error. Robot-based autonomous monitoring systems not only provide higher precision, but they also allow frequent inspection of infrastructure systems at a much lower cost. Recent advancements in robotic systems have led to the development of reconfigurable swarm robots (RSR) that can change their shape and functionality dynamically, without any external intervention. RSR have the advantages of being modular, on-site reconfigurable, multifunctional, incrementally assemble-able, reusable, fault-tolerant, and even repairable on the orbit. Newly-developed reconfigurable robots are expected to bring a radical change in the prevailing structural health monitoring techniques, thus augmenting the efficiency, accuracy and affordability of inspection operations. This paper presents a holistic review of the previous studies and state-of-the-art technologies in the field of RSR, and argues that RSR offer great potential advantages from the perspective of monitoring and assessment of civil and mechanical systems. A roadmap for future research has also been outlined based on the limitations of the current methods and anticipated needs of future inspection systems.
SponsorThis study was supported in part by Qatar National Research Fund.
Languageen
PublisherSpringer
SubjectAutonomous inspection
Reconfigurable swarm robots
Structural health monitoring
TitleReconfigurable swarm robots for structural health monitoring: a brief review
TypeArticle
Pagination287-305
Issue Number3
Volume Number1


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