Vision-guided robotic fabric manipulation for apparel manufacturing

Abstract
Methods are described for vision-guided robotic control of fabric motion for performing simulated joining operations for apparel manufacturing. The determination of robot motion paths is based on visual information defining the position of the fabric edges in world coordinates. The usefulness of the shape analysis and motion control algorithms is demonstrated by experimentation with an integrated robot and vision fabric-handling system. Results of these tests show that using machine vision for planning robot motion provides an effective solution for implementing automated robotic fabric manipulation.

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