任务优先框架下基于图像的水下机器人视觉伺服系统运动规划

Yingqian Wen, Jian Gao, Yunxuan Song, Yimin Chen
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引用次数: 0

摘要

任务优先级是一种针对运动冗余系统的任务规划算法。在任务优先级框架中,每个任务都有不同的优先级顺序和预设的速度。本文将基于图像的视觉伺服(IBVS)控制与包含视觉伺服任务的优先级算法相结合,完成了水下机器人-机械手系统(UVMS)的运动规划。UVMS首先只考虑UUV的运动,依靠IBVS对UUV上摄像机的控制来接近目标点。当目标点进入摄像机范围后,切换任务优先级算法。其主要任务是通过摄像机对末端执行器进行整体视觉伺服控制,使末端执行器接近目标点。第二项任务是依靠无人潜航器上的摄像头来维持飞行器的稳定性。仿真结果表明,采用该算法,UVMS可以依靠视觉实现远程运动规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Motion Planning for Image-based Visual Servoing of an Underwater Vehicle-Manipulator System in Task-Priority Frameworks
Task priority is a task planning algorithm for kinematically redundant systems. In a task priority framework, each task has a different order of priority and a preset speed. This paper combines the image based visual servo (IBVS)control with the priority algorithm incorporating visual servo tasks to complete the motion planning of the underwater vehicle-manipulator system(UVMS). UVMS considers only the UUV movement firstly, relying on IBVS control on camera on UUV to approach the target point. After the target point enters the camera range, the task priority algorithm is switched. The primary task is to complete the overall visual servo control through the camera on the end-effector, so that the end-effector is close to the target point. The secondary task is to rely on the camera on the UUV to maintain the stability of the vehicle. Simulation results show that using this algorithm, UVMS relies on vision to realize remote motion planning.
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