Fully autonomous embroidery systems can precisely control thread colors and stitch patterns, but poor edge contour extraction and unreasonable path design often lead to high thread breakage rates, compromising product quality. To address this, researchers at Wuhan Textile University propose an autonomous planning framework tailored to complex embroidery process constraints, aiming to enhance flexibility in small-batch production.
Key takeaways
- An improved Canny operator (IMCanny) combined with Suzuki-Abe boundary tracking extracts edge contours and generates stitch point data.
- A path optimization model incorporates machine curvature constraints and continuous stitch trajectory requirements to minimize thread breakage.
- An adaptive large neighborhood search (ALNS) algorithm with curvature/tension-driven destroy-and-repair operators improves convergence speed and path smoothness.
- Tests on animal and text patterns show significant gains in embroidery efficiency and stability.
The method models stitch speed and thread tension using kinematic and tension equations, balancing curvature, speed, and tension to reduce breakage and improve quality. This approach supports full automation from image input to executable stitch files, offering a viable solution for flexible, small-batch embroidery manufacturing.
Source: 《机器人》期刊 (robot.sia.cn) · Published 2026-07-15 · “基于边缘拓扑与大邻域搜索的全自主刺绣路径优化方法”