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The influence of coordinates in robotic manipulability analysis

机译:坐标对机器人操纵分析的影响

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摘要

Coordinates play an essential role in the description of real world objects and physical processes. In robotics, coordinates are used to describe the kinematic structure and the kinematic and dynamic behavior. The description mostly takes place in charts, assigned by the observer of the robotic system. However, it is crucial that the described physical process does not depend on the coordinate choice of the observer. In this work we show the relation between coordinates and manipulability analysis. Manipulability measures are dependent of joint coordinates of the robot and task coordinates in the workspace of the robot. Both relations can be analyzed with tensor geometry. We remove the dependency on joint coordinates through the use of an appropriate metric. With the help of tensor contraction, the resulting induced metric in the workspace can be transformed into a coordinate invariant matrix. After applying eigenvalue decomposition on this matrix, we can visualize the dynamic manipulability of a robot as a coordinate invariant ellipsoid. (C) 2019 Elsevier Ltd. All rights reserved.
机译:坐标在真实世界对象和物理过程的描述中发挥重要作用。在机器人学中,坐标用于描述运动结构和运动动态行为。描述主要发生在图表中,由机器人系统的观察者分配。然而,所描述的物理过程不依赖于观察者的坐标选择至关重要。在这项工作中,我们展示了坐标与可操纵性分析之间的关系。可操纵性测量取决于机器人工作空间中机器人和任务坐标的联合坐标。两个关系都可以用张量几何分析。我们通过使用适当的公制来消除对关节坐标的依赖。借助于张量收缩,工作空间中的所得诱导度量可以转换为坐标不变矩阵。在将特征值分解应用于该矩阵之后,我们可以将机器人的动态可操纵性视为坐标不变椭圆形。 (c)2019年elestvier有限公司保留所有权利。

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