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Transforming automated inspection & non-destructive testing: world-leading Open Access research on robotics, sensors & ultrasonics

Strathprints makes available scholarly Open Access content by researchers within the Centre for Ultrasonic Engineering, based within Electronic & Electrical Engineering.

Research at CUE brings together next generation robotics with sensing technology to enable inspection of high value components, such as aerospace components, at the point of manufacture. Non-destructive testing techniques using ultrasound and other sensors can then be deployed to assess components for structural faults or damage and thereby ensure they are built correctly and more efficiently. Research at CUE is to be stimulated by the construction of a new £2.5 million state-of-the-art Robotically-Enabled Sensing (RES) hub within the Department of Electronic & Electrical Engineering (EEE).

Explore the Open Access research by EEE, or explore all of Strathclyde's Open Access research...

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Conference or Workshop Item

Dominguez, Raul and Govindaraj, Shashank and Gancet, Jeremi and Post, Mark and Michalec, Romain and Oumer, Nassir and Wehbe, Bilal and Bianco, Alessandro and Fabisch, Alexander and Lacroix, Simon and De Maio, Andrea and Labourey, Quentin and Souvannavong, Fabrice and Bissonnette, Vincent and Smisek, Michal and Yan, Xiu (2018) A common data fusion framework for space robotics : architecture and data fusion methods. In: International Symposium on Artificial Intelligence, Robotics and Automation in Space Symposia, 2018-06-04 - 2018-06-06.

Post, Mark and Michalec, Romain and Bianco, Alessandro and Yan, Xiu-Tian and De Maio, Andrea and Labourey, Quentin and Lacroix, Simon and Gancet, Jeremi and Govindaraj, Shashank and Marinez-Gonazalez, Xavier and Dominguez, Raul and Wehbe, Bilal and Fabich, Alexander and Souvannavong, Fabrice and Bissonnette, Vincent and Smisek, Michal and Oumer, Nassir W. and Triebel, Rudolph and Marton, Zoltan-Csaba (2018) InFuse data fusion methodology for space robotics, awareness and machine learning. In: 69th International Astronautical Congress, 2018-10-01 - 2018-10-05, Messe Bremen Findorffstraße. (In Press)

This list was generated on Mon Apr 6 16:02:09 2020 BST.