ROBAIR: Mobile Robotic System to Inspect Aircraft Wings and Fuselage

Journal article

Sattar, TP, Chen, S, Bridge, B and Shang, J (2003). ROBAIR: Mobile Robotic System to Inspect Aircraft Wings and Fuselage. Robotics and Factories of the Future. 2, pp. 795-802.
AuthorsSattar, TP, Chen, S, Bridge, B and Shang, J
Abstract

The ROBAIR project is developing a robotic system for the non-destructive testing of rows of rivets and surfaces on the wings and fuselage of commercial aircraft. The system can climb on the outside surfaces of aircraft wings and fuselage and deploy a payload of sensors with a scanning arm. The payload of
sensors consists of ultrasonic phased arrays and compression probes, an acoustic camera, eddycurrent sensors and a thermographic camera. This paper focuses on the climbing robot that carries a Cartesian scanning arm and payload of sensors while walking on the topside and underside of wings and on varying surface curvatures presented by the fuselage of different types of aircraft

Year2003
JournalRobotics and Factories of the Future
Journal citation2, pp. 795-802
Publication dates
Print01 Jan 2003
Publication process dates
Deposited03 Jan 2019
Accepted01 Jan 2003
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Safeguarding Safety Critical Infrastructure with Mobile Robot Inspectors , Opportunities and Challenges
Sattar, TP (2016). Safeguarding Safety Critical Infrastructure with Mobile Robot Inspectors , Opportunities and Challenges. International Conference on Sustainable Vital Technologies in Engineering and Informatics, BUE ACE1 2016. Cairo, Egypt 07 - 09 Nov 2016
Numerical fitting-based likelihood calculation to speed up the particle filter
Li, T, Sun, S, Corchado, JM, Sattar, TP and Si, S (2016). Numerical fitting-based likelihood calculation to speed up the particle filter. International Journal of Adaptive Control and Signal Processing. 30 (11), pp. 1583-1602. https://doi.org/10.1002/acs.2656
Non-destructive testing and condition monitoring with mobile wall climbing and swimming robots
Sattar, TP (2014). Non-destructive testing and condition monitoring with mobile wall climbing and swimming robots. 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2014/MFPT 2014). Manchester, UK 10 - 12 Jun 2014 British Institute of Non-Destructive Testing (BINDT).
Comparison of MUSIC and ESPRIT DOA Estimation algorithms for Wireless Communications
Oumar, O A, Siyau, M F and Sattar, T. (2012). Comparison of MUSIC and ESPRIT DOA Estimation algorithms for Wireless Communications. The First International Conference on Future Generation Communication Technologies. London 12 - 14 Dec 2012