重要6R库卡机器人空间的图形表示

A. Djuric, M. Filipovic, L. Kevac
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引用次数: 12

摘要

由于串联六自由度机械系统的运动结构复杂,会影响机床的声誉、位置、姿态和奇异性,因此对其轨迹规划提出了很高的要求。这三个特征代表了生产计划和制造系统布局设计的关键要素。简单和复杂的机器轨迹都被定义为三维空间中的一系列连接点。每个点的位置和方向都与机器的基础框架相关。为了使机器的可达空间可视化,计算了工作包线,并将其图形化地表示为众所周知的机器属性。提出了一种确定可行刀具定位区域(工作窗口)的方法。使用滤波点算法生成工作包络边界,而使用经验方法或分析方法生成工作窗口。通过求可重构雅可比矩阵的行列式计算奇异区域。这三种刀具轨迹特征代表了三个不同的空间,并使用MATLAB工具在笛卡尔空间中进行了解析和图形识别。奇异区域将在单个机械运动结构的工作空间和工作窗口内表示。以KUKA KR机器人家族为例进行研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graphical representation of the significant 6R KUKA robots spaces
Trajectory planning for serial 6 degree of freedom (DOF) machinery systems is demanding due to complex kinematic structure which affects the machinery tool fame, position, orientation and singularity. These three characteristics represent the key elements for production planning and layout design of the manufacturing systems. Both, simple and complex machine trajectory is defined as series of connected points in 3D space. Each point is defined with its position and orientation related to the machine's base frames. To visualize the machine's reachable space, the work envelope is calculated and graphically presented as very well known machine's property. A methodology to predetermine regions of feasible tool orientation (work window) is analytically and graphically presented. The work envelope boundary is generated using the filtering points algorithm, while work window is generated using either empirical or analytical methods. The singularity regions are calculated by finding the determinant of the reconfigurable Jacobian matrix. These three tool path characteristics represent three different spaces which are identified both analytically and graphically and plotted in Cartesian space using MATLAB tools. The singularity regions will be represented within the workspace and work window for a single machinery kinematic structure. The KUKA KR robot family is used as a case study.
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