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Pose control of mobile manipulators with an uncalibrated eye-in-hand vision system

机译:移动操纵器的姿势控制与未校准的脱拔的副视觉系统

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Mobile manipulators, which consist of a mobile base and a robot manipulator equipped with a vision system, are appropriate for transferring small quantities of a range of different materials in production lines. Position and orientation errors of the mobile base relative to the station are inevitably caused by the non-horizontality of the ground and positioning errors of the mobile base. Hence, this study utilises an uncalibrated eye-in-hand vision system to provide visual information for controlling the manipulator mounted on the mobile base, to pick up a workpiece located on the station. A vision-guided control strategy is proposed. It is based on selected image features and an image-based look-and-move control structure. The control law employed in the control structure is based mainly on the off-line estimate of the transformation from feature space to Cartesian space using the least squares estimation algorithm. Finally, the positioning performance of the eye-in-hand manipulator is experimentally evaluated by controlling the end-effector of the manipulator to approach and grasp the workpiece in various locations on a station.
机译:由移动基座和配备有视觉系统的机器人操纵器组成的移动操纵器适用于在生产线中转移一系列不同材料的少量。移动基座相对于站的位置和方向误差不可避免地由移动基座的地面和定位误差的非水平性引起。因此,本研究利用未校准的引人觉醒系统来提供用于控制安装在移动基座上的机械手的可视信息,以拾取位于车站上的工件。提出了一种视觉引导控制策略。它基于所选择的图像特征和基于图像的外观控制结构。控制结构中使用的控制法主要基于使用最小二乘估计算法对从特征空间转换的离线估计。最后,通过控制操纵器的末端执行器来探测和抓住站的各个位置的末端执行器来实验地评估手中操纵器的定位性能。

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