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Autonomous target capturing of free-floating space robot: Theory and experiments

机译:自由漂浮空间机器人的自主目标捕获:理论与实验

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摘要

Space robotic systems are expected to play an increasingly important role in the future. Unlike on the earth, space operations require the ability to work in the unstructured environment. Some autonomous behaviors are necessary to perform complex and difficult tasks in space. This level of autonomy relies not only on vision, force, torque, and tactile sensors, but also the advanced planning and decision capabilities. In this paper, the authors study the autonomous target capturing from the issues of theory and experiments. Firstly, we deduce the kinematic and dynamic equations of space robotic system. Secondly, the visual measurement model of hand-eye camera is created, and the image processing algorithms to extract the target features are introduced. Thirdly, we propose an autonomous trajectory planning method, directly using the 2D image features. The method predicts the target motion, plans the end-effector's velocities and solves the inverse kinematic equations using practical approach to avoid the dynamic singularities. At last, numeric simulation and experiment results are given. The ground experiment system is set up based on the concept of dynamic simulation and kinematic equivalence. With the system, the experiments of autonomous capturing a target by a free-floating space robot, composed of a 6-DOF manipulator and a satellite as its base, are conducted, and the results validate the proposed algorithm.
机译:太空机器人系统有望在未来发挥越来越重要的作用。与地球不同,太空作战需要具备在非结构化环境中工作的能力。一些自主行为对于在太空中执行复杂而困难的任务是必需的。这种自治程度不仅取决于视觉,力,扭矩和触觉传感器,还取决于高级的计划和决策能力。在本文中,作者从理论和实验问题研究了自主目标捕获。首先,我们推导了空间机器人系统的运动学和动力学方程。其次,建立了手眼摄像机的视觉测量模型,并介绍了提取目标特征的图像处理算法。第三,我们提出了一种直接使用2D图像特征的自主轨迹规划方法。该方法可以预测目标运动,规划末端执行器的速度,并使用实际方法来求解逆运动学方程,以避免动态奇异性。最后给出了数值模拟和实验结果。基于动态模拟和运动学等效的概念,建立了地面实验系统。利用该系统,进行了以六自由度机械手和卫星为基础的自由漂浮空间机器人自主捕获目标的实验,结果验证了该算法的有效性。

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