David Rushton-Smith

University of Technology Sydney

Papers

3

Total Citations

10

H-Index

2

About

David Rushton-Smith is a robotics engineer whose research focuses on the practical deployment of autonomous systems for the inspection and maintenance of large-scale civil infrastructure, particularly steel bridges. His key contributions lie in developing robust perception and mapping algorithms that enable robots to operate effectively in complex, structured, yet unknown environments. His most cited work, "Prior-knowledge assisted fast 3D map building of structured environments for steel bridge maintenance" (2013, 6 citations), introduces a method that leverages prior structural knowledge to accelerate the generation of accurate 3D surface maps, a critical step for reliable robotic navigation and task execution. He also advanced sensor calibration techniques for robot manipulator-mounted IR range cameras and tackled the engineering challenges of automating grit-blasting for corrosion removal. While his citation counts reflect a focused, application-driven career, his work directly addresses Australia’s critical need for innovative solutions to maintain aging infrastructure, demonstrating a clear impact on real-world engineering problems.

Research Focus

Key Achievements

2
H-Index
3
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Prior-knowledge assisted fast 3D map building of structured environments for steel bridge maintenance
6 citations · 2013
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of Technology Sydney

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago