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A car-seat example of automated anthropomorphic testing of fabrics using force-controlled robot motions

机译:使用力控机器人运动对织物进行自动拟人测试的汽车座椅示例

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摘要

For the last years, automation is widely used to relieve humans from repetitive tasks, primarily and firstly within manufacturing. However, for products with less ideal (or hard to model) properties, and when forces depends on human interaction, automated testing has not been explored until now. This work presents the analysis of the (human-dependent) motions/forces based on a fully implemented test case for car-seat testing. For emulation of the corresponding mechanical wear, an experimental test bench was developed. A sensor mat with a pressure gauge net was used in the test bench to determine the relevant loads, and the corresponding movements performed by the humans when sitting in a car seat were acquired by means of a photogrammetry system. Finally, to automate the reproduction of such movements by means of a dummy held by a robot, several controllers have been developed to regulate the force applied by the dummy on the seat. Simplicity and force-control performance for the human replication was also investigated in this work, showing the benefit of freely programmable (open) force control. The developed system has many practical applications, as allowing the analysis of the wearing caused by these movements on the seat upholstery. Thus, force controlled testing of fabrics using robots is a viable option. Note to Practitioners-In this paper, an experimental test bench is presented for the analysis of the mechanical response in car seats. It consists in a force control application in which the robot, by means of a dummy, must apply a controlled force on a car seat, simulating the movements of a human sitting on and standing up from the seat. This simulation is limited by the fact that normalized dummies used in tests are usually conceived to reproduce a sitting position and do not have the mobility of the human body. Furthermore, the simulation with a six axes robot limits to six the degrees of freedom the movements that can be performed with the dummy. Hence, an important part of this study consists in simplifying the human movements in order that they can be performed with the described components and still adequately reproduces the interaction between the body and the seat. In order to develop and validate this experimental test bench, the movements performed by passengers sitting on or standing up from the seat in an actual car have been firstly acquired. Therefore, a four-camera photogrammetry system and a pressure mat have been used. This paper also describes the procedures used to capture and reproduce the human body movements and their forces. In this work, an ABB IRB140 industrial robot has been used, as well as a six degree of freedom JR3 industrial force sensor. For the development of this test bench, two control architectures have been used. The first one is based on a commercial ABB software so, it can be used for application development with any ABB industrial robot. The second control architecture proposed is an open architecture allowing access to the robot state variables, much more complex motion and/or force controllers can be implemented.
机译:在过去的几年中,自动化被广泛用于减轻人类的重复性任务,主要是在制造领域。但是,对于性能不太理想(或难以建模)的产品,并且当力取决于人与人之间的互动时,迄今为止尚未探索自动测试。这项工作基于完全实现的用于汽车座椅测试的测试用例,提出了(与人相关)运动/力的分析。为了模拟相应的机械磨损,开发了实验测试台。在测试台上使用带有压力表网的传感器垫来确定相关负载,并通过摄影测量系统获取人坐在汽车座椅上时所执行的相应运动。最后,为了借助于由机器人保持的假人使这种运动的再现自动化,已经开发了几个控制器来调节假人施加在座椅上的力。在这项工作中还研究了人类复制的简单性和力控制性能,显示了可自由编程(开放)力控制的优势。所开发的系统具有许多实际应用,可以分析座椅装饰中这些运动引起的磨损。因此,使用机器人对织物进行力控制测试是一个可行的选择。给从业者的注意-在本文中,提供了一个用于测试汽车座椅机械响应的实验测试台。它包含在一个力控制应用程序中,在该应用程序中,机器人必须借助假人在汽车座椅上施加受控的力,以模拟坐在座椅上并从座椅上站起来的人的运动。该模拟受到以下事实的限制:测试中使用的标准化虚拟对象通常被认为可再现坐姿,并且不具有人体活动性。此外,使用六轴机器人进行的模拟将虚拟对象可以执行的运动的自由度限制为六个。因此,这项研究的重要组成部分在于简化人体运动,以便可以使用所描述的组件执行人体运动,并且仍然充分再现人体与座椅之间的相互作用。为了开发和验证该实验测试台,首先获取了坐在实际汽车上的座位上或从座位上站起来的乘客所执行的动作。因此,已经使用了四相机摄影测量系统和压力垫。本文还介绍了用于捕获和再现人体运动及其作用力的过程。在这项工作中,使用了ABB IRB140工业机器人以及六自由度JR3工业力传感器。为了开发该测试平台,已经使用了两种控制架构。第一个基于商业ABB软件,因此它可用于任何ABB工业机器人的应用程序开发。提出的第二种控制架构是开放式架构,允许访问机器人状态变量,可以实现更为复杂的运动和/或力控制器。

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