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Embedded vision-based autonomous move-to-grasp approach for a mobile manipulator

机译:用于移动操纵器的基于嵌入式视觉的自主移动抓取方法

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摘要

This paper proposes a vision‐based autonomous move‐to‐grasp approach for a compact mobile manipulator under some low and small environments. The visual information of specified object with a radial symbol and an overhead colour block is extracted from two CMOS cameras in an embedded way. Furthermore, the mobile platform and the postures of the manipulator are adjusted continuously by vision‐based control, which drives the mobile manipulator approaching the object. When the mobile manipulator is sufficiently close to the object, only the manipulator moves to grasp the object based on the incremental movement with its head end centre of the end‐effector conforming to a Bezier curve. The effectiveness of the proposed approach is verified by experiments.
机译:本文提出了一种在某些低级和小型环境下的紧凑型移动机械手基于视觉的自主移动抓取方法。从两个CMOS相机中以嵌入式方式提取带有径向符号和高架色块的指定对象的视觉信息。此外,通过基于视觉的控制连续调整移动平台和机械手的姿势,从而驱动移动机械手接近对象。当移动式操纵器足够靠近对象时,只有操纵器移动时才根据增量运动来抓取对象,其末端执行器的头端中心与Bezier曲线一致。实验证明了该方法的有效性。

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