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On-line adaptive control for minimizing slippage error while mobile platform and manipulator operate simultaneously for robotics mobile manipulation

机译:在线自适应控制可最大程度地减小滑移误差,同时移动平台和机械手同时操作进行机器人移动操作

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Mecanum wheels can apply a flexible mobility to a mobile robot, in this paper, a mobile manipulation robot is designed with combination of a Mecanum wheeled mobile platform and a 7-degrees of freedom (DoF) robot manipulator. Due to the mechanism of Omni-directional mobility, the Mecanum wheeled robot suffers with slip errors on the free rollers, these errors may be reduced with additional sensors and appropriate feedback control. However, while the mobile platform and the manipulator operate simultaneously, the displacement of the center of gravity of the whole robot increases the complexity to the motion control. To solve this problem, we analyze and model the effect of inconsistency of slippage errors caused by the unbalance of normal force on the wheels, and propose an on-line adaption slippage model for the Mecanum vehicle to generate a better control system to reduce these errors. We proof the effectiveness by using our proposed adaption model and on-line compensation control with experiments.
机译:Mecanum轮可以为移动机器人提供灵活的移动性,在本文中,移动操纵机器人是结合Mecanum轮式移动平台和7自由度(DoF)机器人操纵器设计的。由于全方位移动的机制,麦克纳姆轮式机器人的自由辊存在滑动误差,可以通过附加传感器和适当的反馈控制来减少这些误差。然而,当移动平台和操纵器同时操作时,整个机器人的重心的位移增加了运动控制的复杂性。为了解决这个问题,我们分析和建模了由法向力不平衡引起的滑移误差不一致的影响,并提出了一种适用于Mecanum车辆的在线自适应滑移模型,以产生一个更好的控制系统来减少这些误差。 。我们通过使用我们提出的自适应模型和在线补偿控制以及实验来证明其有效性。

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