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Vision-Based Robotic Grasping of Reels for Automatic Packaging Machines

Simone Comari, Marco Carricato

Year
2022
Citations
5
Access
Open access

Abstract

In this work, we present a vision system particularly suited to the automatic recognition of reels in the field of automatic packaging machines. The output of the vision system is used to guide the autonomous grasping of the reels by a robot for a subsequent manipulation task. The proposed solution is built around three different methods to solve the ellipse-detection problem in an image. Such methods leverage standard image processing and mathematical algorithms, which are tailored to the targeted application. An experimental campaign demonstrates the efficacy of the proposed approach, even in the presence of low computational power and limited hardware resources, as in the use-case at hand.

Keywords

Leverage (statistics)Computer scienceArtificial intelligenceComputer visionMachine visionTask (project management)RobotImage processingImage (mathematics)Engineering

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