Manual Maneuverability: Metrics for Analysing and Benchmarking Kinesthetic Robot Guidance

R. J. Kirschner, Florian Martineau, Nico Mansfeld, Saeed Abdolshah, S. Haddadin
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Abstract

Kinesthetic teaching of collaborative robots is applied for intuitive and flexible robot programming by demonstration. This enables non-experts to program such robots on the task-level. Multiple strategies exist to teach velocity- or torque-controlled robots and, thus, the maneuverability among commercial robots differs significantly. However, currently there exists no metric that quantifies how “well” the robot can be guided, e.g., how much effort is required to initiate a motion. In this paper, we propose standardized procedures to quantitatively assess robot manual maneuverability. First, we identify different motion phases during kinesthetic teaching. For each phase, we then propose metrics and experimental setups to evaluate them. The experimental protocols are applied to the proprietary teaching schemes of five commercial robots, namely the KUKA LWR iiwa 14, Yuanda Yu+, Franka Emika robot, and Universal Robot's UR5e and UR10e. The experimental comparison highlights distinct differences between the robots and shows that the proposed methods are a meaningful contribution to the performance and ergonomics assessment of collaborative robots.
手动操纵性:动觉机器人导向分析和基准的度量
通过示范,将协作机器人的动觉教学应用于直观、灵活的机器人编程。这使得非专业人员也可以在任务级别上对这种机器人进行编程。速度或扭矩控制机器人的策略多种多样,因此商用机器人之间的可操作性差异很大。然而,目前还没有一个指标可以量化机器人的引导“好”程度,例如,启动一个运动需要多少努力。在本文中,我们提出了标准化的程序来定量评估机器人的手动可操作性。首先,我们在动觉教学中识别不同的运动阶段。对于每个阶段,我们然后提出指标和实验设置来评估它们。实验方案应用于KUKA LWR iiwa 14、远达宇+、Franka Emika机器人和Universal robot的UR5e和UR10e五款商用机器人的专有教学方案。实验对比显示了机器人之间的明显差异,并表明所提出的方法对协作机器人的性能和工效学评估有意义。
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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