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Control of Machine Vision-Based Corrugated Paper Feeding Robot |
Received:December 21, 2020 |
DOI:10.11980/j.issn.0254-508X.2021.04.009 |
Key Words:corrugated paper robot machine vision |
Fund Project:江苏省高校自然科学研究基金(19KJB510018);常州纺织服装职业技术学院重点课题(CFK201804)。 |
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Abstract:In this study, an industrial camera was used to collect the image of paper points cut by the paperboard cutting machine, and the positioning data of the tip in the robot world coordinate system was obtained. According to the position of the roller press and the required corrugation angle, the attitude prediction model was established. In the movement of the robot, the feeding of corrugated paper was achieved by regulating the robot’s attitude. After actual operation, it was obtained that the position error of corrugated paper could be controlled within 5 mm with the rotation angle error within 2°. The results showed that the stability and reliability of machine vision-based robot feeding process were better than manual operation but with the lack of flexibility. |
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