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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Robotic grasping and alignment for small size components assembly based on visual servoing
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Robotic grasping and alignment for small size components assembly based on visual servoing

机译:基于视觉伺服的小尺寸组件组装的机器人抓握与对准

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摘要

A robotic assembly system for small components precision assembly is designed, which mainly comprises an industrial robot, three cameras, and a force sensor. The industrial robot is employed to conduct two classic assembly subtasks, i.e., grasping and pose alignment. An automatic grasping method with monocular vision guidance is proposed. The grasping strategy consists of three stages, i.e., aligning, approaching, and grasping, and picks up components with high efficiency. Moreover, a coordinated pose alignment strategy with two eye-to-hand microscopic cameras is developed. It can realize pose alignment efficiently and accurately. Besides, based on differential movement principle, the position offset due to the end-effector's orientation adjustment is calculated and compensated, which avoids the grasped component out of the microscopic cameras' field of view. Finally, a series of grasping and pose alignment experiments are conducted on designed robotic precision assembly system to verify the effectiveness of the proposed grasping and pose alignment methods. The grasping success rate is up to 100% with 30 times experiments, the orientation alignment error is less than 0.05(circle), and the position alignment error is less than 26 mu m.
机译:设计用于小部件精密组件的机器人组装系统,主要包括工业机器人,三个摄像机和力传感器。工业机器人用于进行两个经典组装子组织,即抓握和姿态对齐。提出了一种具有单眼视觉引导的自动抓握方法。抓握策略由三个阶段组成,即,对齐,接近和抓住,并以高效率拾取组件。此外,开发了具有两种引人微观摄像机的协调姿态对齐策略。它可以有效准确地实现姿势对齐。此外,基于差分运动原理,计算和补偿引起的末端执行器取向调整引起的位置偏移,这避免了显微镜摄像机的视野中的掌握分量。最后,在设计的机器人精密组装系统上进行了一系列抓握和姿势对准实验,以验证提出的抓握和姿势对准方法的有效性。抓握成功率高达100%,7次实验,方向对准误差小于0.05(圆圈),位置对准误差小于26 mu m。

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