Skip to main content

Biologically Inspired Robotic System for Steel Bridge Condition Assessment

Funding: 2009: $145,000
2010: $140,000
2011: $135,000

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

Funding or Partner Organisation: Australian Research Council (ARC Linkage Projects)
NSW Roads and Traffic Authority (from 2012 RMS) (NSW Roads & Traffic Authority Partnership Fund)

Start year: 2010

Summary: Australia has thousands of steel bridges which form a key infrastructure supporting urban and rural communities. Inadequate maintenance is the common cause of bridge failures which are extremely expensive in terms of human life and cost. The outcomes of this research, a bio-inspired robotic system and enabling methodologies, will bring enormous benefits to the Australian community by significantly improving worker safety, greatly reducing costs and improving efficiency of bridge condition assessment. Australia will lead the world in developing autonomous systems for infrastructure condition assessment, and will gain significant economic benefits from commercialising these advanced technologies for a huge potential market world-wide.

Publications:

Pagano, D & Liu, D 2017, 'An approach for real-time motion planning of an inchworm robot in complex steel bridge environments', Robotica, vol. 35, no. 6, pp. 1280-1309.
View/Download from: UTS OPUS or Publisher's site

Quin, P, Paul, G & Liu, D 2017, 'Experimental Evaluation of Nearest Neighbour Exploration Approach in Field Environments', IEEE Transactions on Automation Science and Engineering, vol. 14, no. 2, pp. 869-880.
View/Download from: UTS OPUS or Publisher's site

Paul, G, Quin, P, To, A & Liu, D 2015, 'A Sliding Window Approach to Exploration for 3D Map Building Using a Biologically Inspired Bridge Inspection Robot', Proceedings of the IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, IEEE, Shenyang, China, pp. 1097-1102.
View/Download from: UTS OPUS or Publisher's site

Paul, G, Quin, P, Yang, C & Liu, D 2015, 'Key Feature-Based Approach for Efficient Exploration of Structured Environments', Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), IEEE International Conference on Robotics and Biomimetics, IEEE, Zhuhai, China, pp. 90-95.
View/Download from: UTS OPUS or Publisher's site

Ward, PK & Liu, D 2012, 'Design of a high capacity Electro Permanent Magnetic adhesion for climbing robots', 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), IEEE International Conference on Robotics and Biomimetics, IEEE, Guangzhou, China, pp. 217-222.
View/Download from: UTS OPUS or Publisher's site

Keywords: bio-inspired climbing robot, infrastructure condition assessment, bridge inspection, supervised autonomous system

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