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An online method for tight-tolerance insertion tasks for string and rope

机译:用于绳子和绳索的紧密插入任务的在线方法

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This paper presents a fast tight-tolerance threading technique for string and rope. Instead of relying on simulations of these deformable objects to plan a path or compute control actions, we control the movement of the string with a virtual magnetic vector field emanating from the narrow openings we wish to thread through. We compute an approximate Jacobian to move the tip of the string through the vector field and propose a method to promote alignment of the head of the string to the opening. We also propose a method for re-grasping the string based on the relationship between the string's configuration, the orientation of the opening, and direction of gravity. This re-grasping method in conjunction with our controller can be used to thread the string through a sequence of openings. We evaluated our method in simulation (with simulated sensor noise) and on the Da Vinci surgical robot. Our results suggest that our method is quite robust to errors in sensing, and is capable of real-world threading tasks with the da Vinci robot, where the diameter of the string (3.5mm) and opening (4.9mm) differ by only 1.4 mm.
机译:本文为绳索和绳索提供了一种快速的紧密尺寸技术。而不是依赖这些可变形对象的模拟来规划路径或计算控制动作,我们控制串的移动与我们希望穿过的窄开口发出的虚拟磁矢量字段。我们计算近似Jacobian以通​​过向量字段移动字符串的尖端,并提出一种方法来促进字符串的头部对齐到开口。我们还提出了一种基于字符串配置,开口方向和重力方向之间的关系重新抓住串的方法。此重新抓取方法与我们的控制器一起使用可用于通过一系列开口来向串进行线程。我们在模拟(模拟传感器噪声)和DA Vinci外科机器人上进行了评估了我们的方法。我们的结果表明,我们的方法对感应的错误非常强大,并且能够使用DA Vinci机器人的现实线程任务,其中弦(3.5mm)的直径和开口(4.9mm)仅不同1.4毫米。

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