A vision guided robotic system for flexible gluing process in the footwear industry

•Kinect V2 application in a vision guided robotic system.•A new calibration procedure between the robot and the vision system.•Two techniques for gluing path planning on flat and three-dimensional objects.•Quantitative and qualitative error analysis.•Application to a prototype of gluing robot in the...

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Vydané v:Robotics and computer-integrated manufacturing Ročník 65; s. 101965
Hlavní autori: Pagano, Stefano, Russo, Riccardo, Savino, Sergio
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Elsevier Ltd 01.10.2020
Elsevier BV
Predmet:
Arduino microcontroller
Automated gluing machine
Calibration
Cartesian coordinates
Computer vision integrated manufacturing
Flexible gluing operation
Footwear
Footwear industry
Footwear manufacturing
Gluing
Image reconstruction
Microsoft Kinect sensor
Object recognition
Robots
Trajectory planning
Vision systems
Automated gluing machine
Footwear manufacturing
Arduino microcontroller
Microsoft Kinect sensor
Flexible gluing operation
Computer vision integrated manufacturing
ISSN:0736-5845, 1879-2537
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Shrnutí:•Kinect V2 application in a vision guided robotic system.•A new calibration procedure between the robot and the vision system.•Two techniques for gluing path planning on flat and three-dimensional objects.•Quantitative and qualitative error analysis.•Application to a prototype of gluing robot in the footwear manufacturing. This paper presents a novel gluing machine comprising a Cartesian robot and a vision system. The vision system enables the location and reconstruction of the shape of objects to be glued; the detected information is then used to plan the trajectory of the robot whose end-effector is a glue gun and to move the robot with an error suitable to industrial gluing operations. A calibration procedure that enables transforming coordinates between the robot frame and the vision system frame is described. The calibration considers several mechanical inaccuracies and its effectiveness was evaluated using error maps. In particular, the paper examines objects to be glued along their edges, as frequently occurs for fabrics, leathers, and shoe soles. For this, two procedures to plan the trajectories of the robot are proposed: the first is for objects that can be treated as flat 2D objects, that is, their height variation is negligible; the second procedure is for 3D objects, that is, those with significant height variation. Several applicative examples are reported to highlight the flexibility of the gluing process. [Display omitted]
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ISSN:0736-5845
1879-2537
DOI:10.1016/j.rcim.2020.101965