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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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Number of items: 9.

2020

Cashmore, Michael and Magazzeni, Daniele and Zehtabi, Parisa (2020) Planning for hybrid systems via Satisfiability Modulo Theories. Journal of Artificial Intelligence Research, 67. ISSN 1076-9757

2013

Cuenca Grau, Bernardo and Horrocks, Ian and Krötzsch, Markus and Kupke, Clemens and Magka, Despoina and Motik, Boris and Wang, Zhe (2013) Acyclicity notions for existential rules and their application to query answering in ontologies. Journal of Artificial Intelligence Research, 47. pp. 741-808. ISSN 1076-9757

2007

Coles, A.I. and Smith, A.J. (2007) Marvin: a heuristic search planner with online macro-action learning. Journal of Artificial Intelligence Research, 28. pp. 119-156.

2006

Fox, M. and Long, D. (2006) Modelling mixed discrete-continuous domains for planning. Journal of Artificial Intelligence Research, 27. pp. 235-297.

2004

Hoffmann, J. and Porteous, J. and Sebastia, L. (2004) Ordered Landmarks in Planning. Journal of Artificial Intelligence Research, 22. pp. 215-278.

2003

Fox, M. and Long, D. (2003) PDDL2.1: An extension of PDDL for expressing temporal planning domains. Journal of Artificial Intelligence Research, 20. pp. 61-124.

Long, D. and Fox, M. (2003) The 3rd International Planning Competition: Results and Analysis. Journal of Artificial Intelligence Research, 20. pp. 1-59.

1999

Long, D. and Fox, M. (1999) Efficient Implementation of the Plan Graph in STAN. Journal of Artificial Intelligence Research, 10. pp. 87-115.

1998

Fox, M. and Long, D. (1998) The automatic inference of state invariants in TIM. Journal of Artificial Intelligence Research, 9. pp. 367-421.

This list was generated on Mon Apr 6 06:02:28 2020 BST.