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Visual End-Effector Position Error Compensation for Planetary Robotics

机译:行星机器人的视觉末端执行器位置误差补偿

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This paper describes a vision-guided manipulation algorithm that improves arm end-effector positioning to subpixel accuracy and meets the highly restrictive imaging and computational constraints of a planetary robotic flight system. Analytical, simulation-based, and experimental analyses of the algorithm's effectiveness and sensitivity to camera and arm model error is presented along with results on several prototype research systems and "ground-in-the-loop" technology experiments on the Mars Exploration Rover (MER) vehicles. A computationally efficient and robust subpixel end-effector fiducial detector that is instrumental to the algorithm's ability to achieve high accuracy is also described along with its validation results on MER data.
机译:本文介绍了一种视觉引导操纵算法,该算法可将臂末端执行器的定位提高到亚像素精度,并满足行星机器人飞行系统的高度限制性成像和计算约束。给出了算法的有效性,对摄像机和手臂模型误差的敏感性的基于仿真的分析和实验分析,以及一些原型研究系统的结果以及火星探测漫游车(MER)的“在环技术”实验) 汽车。还描述了一种计算有效且健壮的亚像素末端执行器基准检测器,该检测器对算法实现高精度具有重要作用,并针对MER数据进行了验证。

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