通过自适应调节任务坐标,让外骨骼与协作机器人协同分担负载,避免关节过载。
A Framework for Adaptive Load Redistribution in Human-Exoskeleton-Cobot Systems
- 根据人体姿态动态调整任务坐标,引导负载向支持关节集中。
- 在负载超限情况下自动重分配,使支持关节扭矩不超限。
- 适合工业场景中需长期负重的人机协同任务,提升安全性与舒适性。
穿戴设备如外骨骼旨在减轻人体特定关节的过度负荷。例如,单自由度或双自由度的上肢工业外骨骼通常聚焦于缓解肘部和肩部关节的应力。然而,在日常活动中,外部负载未必与受支持关节对齐。若优化工作流程,使外部负载尽可能(在可由外骨骼补偿的范围内)指向受支持关节,将显著提升设备可用性与使用者的工效学体验。协作机器人(cobots)可在该优化中发挥作用,补充人机协作的协同性。本研究提出一种面向人-协作者-外骨骼系统交互的自适应协同控制系统。该系统通过调整任务坐标,最大化受支持关节的利用率。当外骨骼扭矩达到上限时,框架持续调整任务坐标,将过载部分转移至非受支持关节,防止受支持关节过载。我们在一个等效工业喷漆任务中验证了该方法,实验包含单自由度肘部外骨骼、协作者机器人及四名受试者,每名受试者在四种初始手臂姿态下,测试五种不同优化权重矩阵和两种不同负载条件。
原文摘要 · Abstract (English)
Wearable devices like exoskeletons are designed to reduce excessive loads on specific joints of the body. Specifically, single- or two-degrees-of-freedom (DOF) upper-body industrial exoskeletons typically focus on compensating for the strain on the elbow and shoulder joints. However, during daily activities, there is no assurance that external loads are correctly aligned with the supported joints. Optimizing work processes to ensure that external loads are primarily (to the extent that they can be compensated by the exoskeleton) directed onto the supported joints can significantly enhance the overall usability of these devices and the ergonomics of their users. Collaborative robots (cobots) can play a role in this optimization, complementing the collaborative aspects of human work. In this study, we propose an adaptive and coordinated control system for the human-cobot-exoskeleton interaction. This system adjusts the task coordinates to maximize the utilization of the supported joints. When the torque limits of the exoskeleton are exceeded, the framework continuously adapts the task frame, redistributing excessive loads to non-supported body joints to prevent overloading the supported ones. We validated our approach in an equivalent industrial painting task involving a single-DOF elbow exoskeleton, a cobot, and four subjects, each tested in four different initial arm configurations with five distinct optimisation weight matrices and two different payloads.
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