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GRIBBOT - Robotic 3D vision-guided harvesting of chicken fillets

机译:GRIBBOT - 机器人3D视觉引导收获鸡肉片

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摘要

In Norway, the final stage of front half chicken harvesting is still a manual operation due to a lack of automated systems that are suitably flexible with regard to production efficiency and raw material utilisation. This paper presents the ‘GRIBBOT’ – a novel 3D vision-guided robotic concept for front half chicken harvesting. It functions using a compliant multifunctional gripper tool that grasps and holds the fillet, scrapes the carcass, and releases the fillet using a downward pulling motion. The gripper has two main components; a beak and a supporting plate. The beak scrapes the fillet down the rib cage of the carcass following a path determined by the anatomical boundary between the meat and the bone of the rib cage. The supporting plate is actuated pneumatically in order to hold the fillet. A computer vision algorithm was developed to process images from an RGB-D camera (Kinect v2) and locate the grasping point in 3D as the initial contact point of the gripper with the chicken carcass for harvesting operation. Calibration of camera and robot was performed so that the grasping point was defined using 3D coordinates within the robot’s base coordinate frame and tool centre point. A feed-forward Look-and-Move control algorithm was used to control the robot arm and generate the motion trajectories, based on the 3D coordinates of the grasping point as calculated from the computer vision algorithm. The results of an experimental proof-of-concept demonstration showed that GRIBBOT was successful both in scraping the carcass, grasping chicken fillets automatically and in completing the front half fillet harvesting process. It demonstrated a potential for the flexible robotic automation of the chicken fillet harvesting operation. Its commercial application, with further development, can result in automated fillet harvesting, while future research may also lead to optimal raw material utilisation. GRIBBOT shows that there is potential to automate even the most challenging processing operations currently carried out manually by human operators.
机译:在挪威,由于缺乏自动化系统,因此前半部鸡收获的最后阶段仍然是手动操作,该自动化系统在生产效率和原料利用方面具有适当的灵活性。本文介绍了“ GRIBBOT”-一种用于前半部鸡收获的新颖3D视觉引导机器人概念。它使用兼容的多功能抓手工具来工作,该工具可抓握并保持圆角,刮擦胎体并通过向下拉动释放圆角。抓具具有两个主要组件;喙和支撑板。喙沿着肉和肋骨的骨骼之间的解剖边界确定的路径将鱼片沿cas体的肋骨刮下。支撑板被气动驱动以固定鱼片。开发了一种计算机视觉算法来处理来自RGB-D相机(Kinect v2)的图像,并将3D抓取点定位为抓取器与鸡car体进行收获操作的初始接触点。进行摄像机和机器人的校准,以便使用机器人基本坐标系和工具中心点内的3D坐标定义抓取点。基于计算机视觉算法计算的抓取点的3D坐标,使用前馈外观控制算法来控制机器人手臂并生成运动轨迹。实验性概念验证的结果表明,GRIBBOT在刮除car体,自动抓鸡排和完成前半部鱼排收获过程中均取得了成功。它展示了鸡柳收获操作的灵活机器人自动化的潜力。它的商业应用以及进一步的发展可以导致鱼片的自动收获,而未来的研究也可能导致最佳的原料利用。 GRIBBOT显示,即使是目前由人工操作人员手动执行的最具挑战性的加工操作,也有可能实现自动化。

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