Estimating the Maximum Pushing Force of Robot Manipulators to Physically Assist Caregivers

C. Kowalski, S. Hellmers, Pascal Hinrichs, Andreas Hein
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Abstract

Robotic use cases where a robot must perform a force application can lead to overloaded joints due to excessive external joint forces. This results in performance degradation or even hardware damage in the worst case. Such cases are conceivable, for example, in physical human-robot interaction, where the collaborating robot should remain relatively small and light, but large loads have to be handled several times a day in collaboration with humans, e.g., in nursing care. For this purpose, we present an approach to estimate suitable configurations of a predetermined task with a start and goal robot pose to generate a robot manipulator path which possesses suitable conditions to leverage the manipulator's maximum pushing force potential. We also evaluate different metrics to show that robot base placement plays a major role when utilizing the robot manipulator's pushing capability for different tasks. Based on the robot's configuration and/or placement, the pushing force potential can differ by several magnitudes.
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估计机器人操作器的最大推力,以帮助照顾者
机器人必须执行力应用的机器人用例可能会由于过度的外部关节力而导致关节过载。在最坏的情况下,这会导致性能下降甚至硬件损坏。这种情况是可以想象的,例如,在物理人机交互中,协作机器人应该保持相对较小和较轻,但在护理中,大负载必须与人类合作,每天处理几次。为此,我们提出了一种方法来估计具有起始和目标机器人位姿的预定任务的合适配置,以生成具有合适条件的机器人机械手路径,以利用机械手的最大推力潜力。我们还评估了不同的指标,以表明机器人基座位置在利用机器人机械手的推动能力完成不同任务时起着重要作用。根据机器人的结构和/或位置,推力势可以相差几个数量级。
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