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  4. Towards coupling land-based and water-based mobile robots for monitoring and inspection of waterside structures
 
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Towards coupling land-based and water-based mobile robots for monitoring and inspection of waterside structures

Publikationstyp
Conference Paper
Date Issued
2022-05-23
Sprache
English
Author(s)
Seifried, Robert  orcid-logo
Smarsly, Kay  
Dücker, Daniel-André 
Pick, Marc-André  
Dragos, Kosmas  
Institut
Mechanik und Meerestechnik M-13  
Digitales und autonomes Bauen B-1  
TORE-URI
http://hdl.handle.net/11420/12869
Citation
Workshop on Adaptive Structures at Shore (2022)
Contribution to Conference
Workshop on Adaptive Structures at Shore, 2022  
Publisher Link
https://www.tuhh.de/gbt/ass2022/programme.html
Peer Reviewed
false
Is Part Of
10.15480/882.4468
Waterside structures represent vulnerable and often safety-relevant land/water interfaces that fulfill critical operations, such as facilitating commute across natural impediments or protecting and managing marine traffic. Therefore, monitoring and inspection of waterside structures is essential to ensure continuous operation. With recent technological advancements, robotic systems have been devised to execute monitoring and inspection tasks. However, robotic monitoring and inspection of waterside structures, as compared to monitoring and inspection of land-based civil infrastructure systems, is associated with a number of challenges because of the specifics of waterside structures. In particular, the collaboration of land-based and water-based robots must be ensured, which, so far, has received little attention in robotics research. This paper proposes a concept to couple land-based and water-based robots for monitoring and inspection of waterside structures. The concept is centered around collaborative analysis of the structural condition, and it builds upon embedded computing considering the semantics provided by digital twins and building information models. Finally, research directions are discussed that need to be investigated for transferring the concept into engineering practice.
DDC Class
620: Ingenieurwissenschaften
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