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Vision-Based Caging Grasps of Polyhedron-Like Workpieces With a Binary Industrial Gripper

机译:基于视觉的多面体样工件的二元工业夹具

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Development of a flexible low-cost robotic system to grasp various 3D workpieces is of practical important. Traditional approaches on 3D grasping usually need to compute the effective contact positions based on sufficient conditions, such as “force-closure” or “form-closure,” to prevent all the motions of the grasped objects. Compared with the previous work motivated by high-precision applications, caging provides a way to manipulate an object without needing to immobilize it. However, most caging conditions consider only 2D motions of the object in grasping. In some cases, other motions in 3D space, e.g., the pitch and roll rotations of the objects, would also possibly change a caging configuration to an uncaging configuration. This paper aims to discuss caging with frictionless contact, by taking into consideration of all the motions of the object. We first discuss the relationship between the gripper configuration and the state of the grasped object in grasping, where all the motions of the object are taken into account. We then establish the sufficient conditions to find a set of 3D caging configurations in terms of the width of the object's projection and the gap of the gripper, such that we can utilize the projection to find the feasible placements of the pins to determine the caging configuration. Furthermore, we discuss how to find the caging configuration that is capable of leading to a form-closure based on attractive region formed in the configuration space.
机译:开发一种灵活的低成本机器人系统来抓取各种3D工件具有实际意义。传统的3D抓握方法通常需要基于足够的条件(例如“力闭合”或“形式闭合”)计算有效的接触位置,以防止被抓物体的所有运动。与高精度应用推动的以前的工作相比,笼养提供了一种无需固定即可操纵对象的方法。但是,大多数笼养条件在抓取时仅考虑对象的2D运动。在某些情况下,3D空间中的其他运动(例如,对象的俯仰和横滚旋转)也可能会将笼式配置更改为非笼式配置。本文旨在通过考虑物体的所有运动来讨论无摩擦接触的笼装。我们首先讨论抓取器的结构与抓握状态之间的关系,其中要考虑到物体的所有运动。然后,我们根据对象投影的宽度和夹持器的间隙建立足够的条件来找到一组3D笼式配置,以便我们可以利用该投影来找到销钉的可行位置以确定笼式配置。此外,我们讨论了如何根据配置空间中形成的吸引区域来找到能够导致表单关闭的笼式配置。

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