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Mobile Robots for In-Process Monitoring of Aircraft Systems Assemblies

Marc Auledas-Noguera, Amer Liaqat, Ashutosh Tiwari

发表年份
2022
引用次数
4
访问权限
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摘要

Currently, systems installed on large-scale aerospace structures are manually equipped by trained operators. To improve current methods, an automated system that ensures quality control and process adherence could be used. This work presents a mobile robot capable of autonomously inspecting aircraft systems and providing feedback to workers. The mobile robot can follow operators and localise the position of the inspection using a thermal camera and 2D lidars. While moving, a depth camera collects 3D data about the system being installed. The in-process monitoring algorithm uses this information to check if the system has been correctly installed. Finally, based on these measurements, indications are shown on a screen to provide feedback to the workers. The performance of this solution has been validated in a laboratory environment, replicating a trailing edge equipping task. During testing, the tracking and localisation systems have proven to be reliable. The in-process monitoring system was also found to provide accurate feedback to the operators. Overall, the results show that the solution is promising for industrial applications.

关键词

Process (computing)AerospaceRobotReal-time computingEnhanced Data Rates for GSM EvolutionComputer scienceMobile robotTracking systemEngineeringTask (project management)

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