Predictive motion synchronization for two arm dynamic mobile manipulation

Johannes Mangler, Felix Mauch, A. Rönnau, R. Dillmann
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引用次数: 2

Abstract

Manipulating in a closed kinematic chain results in forces and torques to the grasped object if the manipulator is not synchronized to the mobile platform. This paper presents a novel algorithm for dynamic manipulation on mobile platforms. A predictive algorithm synchronize robotic manipulators with a mobile platform. This is necessary when the manipulator or the mobile platform have huge dead-times. With the synchronization of the components the dynamics can be minimized to avoid any damage in the closed kinematic chain. With this novel approach for mobile manipulation precise tasks can be executed in large environments or while moving the platform. To synchronize the system the dead-times of the manipulator and the mobile platform have to be analyzed. The predictive algorithm is evaluated against an adaptive algorithm without dead-time knowledge. As hardware setup two LBR 4 are mounted on a KUKA Omnirob with Mercanum drives. The results are presented and discussed for the simulation and the real experiments.
双臂动态移动操作的预测运动同步
在一个封闭的运动链中操作,如果机械手不与移动平台同步,就会对被抓物体产生力和力矩。本文提出了一种新的移动平台动态操作算法。一种预测算法使机器人与移动平台同步。当机械手或移动平台有巨大的死区时间时,这是必要的。由于各部件的同步,可以使动力学最小化,以避免封闭运动链中的任何损坏。通过这种新颖的移动操作方法,可以在大型环境中或移动平台时执行精确的任务。为了实现系统的同步,必须对机械手和移动平台的死区时间进行分析。该预测算法与无死区知识的自适应算法进行了比较。作为硬件设置两个LBR 4安装在库卡Omnirob与Mercanum驱动器。对仿真结果和实际实验结果进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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