Robotic Assembly Based on Human Perception and Action

B. Chung, Sooyong Lee
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引用次数: 1

Abstract

Force guided assembly is a control scheme to guide a workpiece based on a stored map from forces to a correction of motion. Based on the geometry of the workpiece and its kinematic behavior in interacting with the environment, the functional map relating the correction of motion to force measurements is generated and stored as a control law. Central to the design of force guided control is how to synthesize this functional map. Although these explicit force-guided controls are a useful concept, particularly for the monitoring of assembly processes, there are inherent difficulties in applying it to real world problems. In real assembly lines, pipe insertion task, for instance, has been performed only by human workers. Skilled workers insert pipes by perturbing the pipes in order to avoid jamming as well as to determine which way to correct the motion. According to them, the skilled workers monitor obstructing forces in response to the applied perturbation, and modify their motion accordingly. The proposed perturbation/correlation method was motivated by this human perception and action : perturbing the pipe, observing the reaction to the perturbation and correcting the trajectory. In this paper, we propose a novel technique for acquiring effective force information despite sensor noise and friction. Instead of simply receiving force signals from the process, we give perturbation to the robot and measure the reaction forces to the perturbation. By taking the correlation between the perturbation signal and the reaction forces, reliable and useful information for guiding the robot would be extracted. It is expected that this perturbed force measurement provides much richer force information than that of stationary measurement. The perturbation/Correlation method presented in this paper is not only effective for reducing friction, but also effective for obtaining useful information for guiding the robot towards a desired direction. Preliminary experimental results with one directional perturbation are shown in this paper. Extensive mathematical analysis shows the potential application to assemblies in higher dimension.
基于人类感知和行动的机器人装配
力导向装配是一种基于存储图将工件从力导向到运动修正的控制方案。基于工件的几何形状及其与环境相互作用的运动学行为,生成运动校正与力测量之间的函数映射,并将其存储为控制律。力导控制设计的核心是如何综合这一功能图。虽然这些明确的力引导控制是一个有用的概念,特别是对装配过程的监测,但在将其应用于现实世界的问题时存在固有的困难。例如,在真正的装配线中,管道插入任务仅由人工完成。熟练工人通过扰乱管道插入管道,以避免堵塞,并确定哪一种方式来纠正运动。根据他们的说法,熟练工人根据施加的扰动监测阻碍力,并相应地修改他们的运动。提出的扰动/相关方法是由这种人类感知和行动驱动的:扰动管道,观察对扰动的反应并纠正轨迹。在本文中,我们提出了一种不受传感器噪声和摩擦影响而获取有效力信息的新技术。我们不是简单地从过程中接收力信号,而是对机器人施加扰动,并测量对扰动的反作用力。利用摄动信号与反作用力之间的相关性,提取出可靠、有用的指导机器人的信息。期望这种摄动力测量能提供比静态测量更丰富的力信息。本文提出的摄动/相关方法不仅可以有效地减少摩擦,而且可以有效地获得有用的信息,从而引导机器人向期望的方向移动。本文给出了单向扰动下的初步实验结果。广泛的数学分析显示了该方法在高维装配中的潜在应用。
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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