Motion guidance experiments with Scooter Cobot

E. S. Boy, E. Burdet, C. Teo, J. Colgate
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引用次数: 15

Abstract

Cobots assist humans by mechanically guiding motion along software-defined paths or surfaces. Cobot design has been extensively studied previously. This paper reports the first systematic experimental study of motion guidance with a cobot. We investigated the movements of seven operators with the Scooter cobot in representative environments. Analysis of the force exerted by the operators and the trajectories reveals significant differences between guided movements (GM) and free movements (FM). While FM requires learning for each novel task, GM is optimal from the first trial: Less effort is required to move in GM than in FM, Movements in GM are faster, smoother, and require less back and forth correction than in FM. These advantages demonstrate the strength of the Cobol concept. The results further suggest that operators guided by the Scooter can handle objects in a more "open-loop" way than with a dumb trolley, and so perform faster and concentrate on other aspects of the manipulation task, potentially resulting in increased productivity and fewer injuries.
滑板车Cobot的运动引导实验
协作机器人通过机械地引导人类沿着软件定义的路径或表面运动来帮助人类。协作机器人的设计以前已经被广泛研究过。本文首次对协作机器人的运动引导进行了系统的实验研究。我们在代表性环境中研究了七名操作员使用Scooter协作机器人的动作。通过对操作者施加的力和运动轨迹的分析,揭示了引导运动和自由运动之间的显著差异。虽然FM需要学习每个新任务,但GM从第一次试验开始就是最优的:在GM中移动所需的努力比FM少,GM中的移动比FM更快,更平稳,并且需要更少的来回校正。这些优点证明了Cobol概念的强大。结果进一步表明,在Scooter的引导下,操作员可以以一种比哑巴手推车更“开环”的方式处理物体,因此操作速度更快,可以专注于操作任务的其他方面,从而提高生产率,减少伤害。
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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