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Development of a Deployable Climbing Robot for the SHB Inspection and Condition Assessment

Project Member(s): Liu, D., Paul, G., Dissanayake, G., Waldron, K.

Funding or Partner Organisation: Roads and Maritime Services (formerly known as RTA) (Roads and Maritime Services)

Start year: 2014

Summary: UTS and RMS of NSW have been collaborating on research and development of biologically inspired robots for steel bridge inspection and condition assessment from 2010 to 2013. This research has been funded by an Australian Research Council (ARC) Linkage project. The research conducted since 2010 has addressed many research challenges. A lot of engineering challenges has also been addressed, including the design of the 7DOF inchworm robot and a novel adhesion pad. Based on the research outcomes, this proposed project will develop one deployable climbing robot for RMS personnel to use for inspection and condition assessment of the Sydney Harbour Bridge.


Quin, P, Nguyen, DDK, Vu, TL, Alempijevic, A & Paul, G 2021, 'Approaches for Efficiently Detecting Frontier Cells in Robotics Exploration.', Frontiers Robotics AI, vol. 8, pp. 616470-616470.
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Yang, C-HJ, Paul, G, Ward, P & Liu, D 1970, 'A path planning approach via task-objective pose selection with application to an inchworm-inspired climbing robot', 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), IEEE, Banff, Canada, pp. 401-406.
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Paul, G, Quin, P, Yang, C-HJ & Liu, D 1970, 'Key feature-based approach for efficient exploration of structured environments.', ROBIO, IEEE International Conference on Robotics and Biomimetics, IEEE, Zhuhai, China, pp. 90-95.
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Keywords: Climbing robots, inspection, steel bridges

FOR Codes: Mechanical Engineering, Road Infrastructure and Networks, Transport Engineering, Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics), Machinery and Equipment not elsewhere classified, Rail Infrastructure and Networks, Manufacturing robotics, Ground transport, Machinery and equipment