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Analyses of Key Variables to Industrialize a Multi-Camera System to Guide Robotic Arms

Pablo Puerto, Ibai Leizea, Imanol Herrera, Asier Barrios

发表年份
2023
引用次数
7
访问权限
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摘要

Robotic arms are widely used in sectors such as automotive or assembly logistics due to their flexibility and cost. Other manufacturing sectors would like to take advantage of this technology, however, higher accuracy is required for their purposes. This paper integrated a multi-camera system to achieve the requirements for milling and drilling tasks in aeronautic parts. A closed-loop framework allows the position of the robot’s end-effector to be corrected with respect to a static reference. This is due to the multi-camera system tracking the position of both elements due to the passive targets on their surface. The challenge is to find an auxiliary system to measure these targets with an uncertainty that allows the desired accuracy to be achieved in high volumes (>3 m3). Firstly, in a reduced scenario, a coordinate measuring machine (CMM), a laser tracker (LT), and portable photogrammetry (PP) have been compared following the guidelines from VDI/VDE 2634-part 1. The conclusions allowed us to jump into an industrial scenario and run a similar test with a higher payload than in the laboratory. The article ends with an application example demonstrating the suitability of the solution.

关键词

Laser trackerPayload (computing)Flexibility (engineering)Automotive industryRobotKey (lock)Position (finance)Computer scienceSimulationArtificial intelligence

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