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Fast grasping of unknown objects through automatic determination of the required number of mobile robots

机译:通过自动确定所需数量的移动机器人,快速抓取未知物体

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摘要

In this paper, we present a strategy for fast grasping of unknown objects by mobile robots through automatic determination of the number of robots. An object handling system consisting of a Gripper robot and a Lifter robot is designed. The Gripper robot moves around an unknown object to acquire partial shape information for determination of grasping points. The object is transported if it can be lifted by the Gripper robot. Otherwise, if all grasping trials fail, a Lifter robot is used. In order to maximize use of the Gripper robot's payload, the detected grasping points that apply the largest force to the gripper are selected for the Gripper robot when the object is grasped by two mobile robots. The object is measured using odometry and scanned data acquired while the Gripper robot moves around the object. Then, the contact point for calculating the insert position for the Lifter robot can be acquired quickly. Finally, a strategy for fast grasping of known objects by considering the transition between stable states is used to realize grasping of unknown objects. The proposed approach is tested in experiments, which find that a wide variety of objects can be grasped quickly with one or two mobile robots.
机译:在本文中,我们提出了一种通过自动确定机器人数量来快速抓取未知物体的策略。设计了一种由Gripper机器人和Lifter机器人组成的物体搬运系统。Gripper 机器人在未知物体周围移动以获取部分形状信息,以确定抓取点。如果物体可以被 Gripper 机器人抬起,则该物体将被运输。否则,如果所有抓取试验都失败,则使用升降机器人。为了最大限度地利用Gripper机器人的有效载荷,当物体被两个移动机器人抓取时,为Gripper机器人选择对抓手施加最大力的检测到的抓取点。使用里程计测量物体,并在夹持机器人在物体周围移动时采集的扫描数据进行测量。然后,可以快速获取用于计算升降机器人刀片位置的接触点。最后,采用考虑稳定状态之间转换的快速抓取已知目标的策略,实现对未知目标的抓取。所提出的方法在实验中进行了测试,发现一个或两个移动机器人可以快速抓取各种物体。

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