A study on automating rolling-stock maintenance in the rail industry using robotics

Randika K.W. Vithanage*, Colin S. Harrison, Anjali K.M. DeSilva

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)
213 Downloads (Pure)


Maintenance cost of United Kingdom’s rail rolling stock is a substantial portion of its whole life costs. Therefore, it is vital to conduct these maintenance tasks in an efficient and cost-effective manner to minimize operational costs while maximizing safety, quality, and consistency of service. The introduction of robotics and
other intelligent mechanisms to maintenance processes would be an ideal solution to these challenges. Hence, this research suggests introducing autonomous maintenance systems equipped with industrial robots to tasks within the railway system, specifically for rolling-stock maintenance. The paper summarizes on-going and future work of a case-study conduct in conjunction with a UK railway operator.
Original languageEnglish
Title of host publicationProceedings of the 14th International Conference on Informatics in Control, Automation and Robotics
Number of pages6
ISBN (Print)978-989-758-264-6
Publication statusPublished - 28 Jul 2017


  • industrial robots, automated maintenance, sensor fusion


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