【摘要】 在物流场景中，人工卸车拆垛作业往往费时费力且存在潜在伤害，而智能制造的大环境不断推动先进制造装备和人工智能技术的进一步融合。面向物流集装箱场景，设计视觉引导的机器人拆垛方案，研究基于YOLO的图像识别与分割算法，实现了对堆叠纸箱的精确识别、分割与定位；设计基于视觉图像处理的拆垛动作流程，提高了拆垛系统的自动化水平，以提高卸车效率、节省人力资源、避免潜在事故。更多还原

【Abstract】 Aiming at logistics container scenarios, a vision-guided robot destacking solution has been designed, leveraging image recognition and segmentation algorithms based on YOLO to achieve precise identification, segmentation, and positioning of stacked cartons. By designing destacking strategies based on visual image processing, the automation level of the destacking system is enhanced, leading to improved unloading efficiency, resource savings, and accident prevention.更多还原