A Novel Elastic Model for Exoskeleton-User Coupling Interfaces.

Christian Mele, David Choi, Katja Mombaur, James Tung
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引用次数: 0

Abstract

Current research on physical human-robot interactions (pHRI) in wearable assistive robots, such as lower-limb exoskeletons, primarily focuses on improving net force estimates at each interface to improve robot controller performance. Consequently, estimating force distribution along physical interfaces of wearable robots, crucial for user safety and comfort, has been largely overlooked. We propose a novel computational model that uses interface geometry and strapping tension as inputs, and predicts the static pressure field generated during the user donning process by treating the supporting surface as an elastic foundation. Accuracy of the proposed computational method was validated by comparing the estimated static pressure field of a commercially available interface to experimental data. While measured pressure magnitudes were significantly lower than model prediction, likely due to a combination of assumptions and limitations associated with model design, similar loading patterns were observed. Identifying regions of high pressure from simulation and similar patterns allow for reliable scaling to reduce inaccuracies, and may be used to inform design. Further refinements of the proposed model will provide a valuable tool for developing more comfortable and safer interfaces for wearable robots.

一种新的外骨骼-用户耦合接口弹性模型。
目前对可穿戴辅助机器人(如下肢外骨骼)中物理人机交互(pHRI)的研究主要集中在改进每个界面的净力估计以提高机器人控制器的性能。因此,估计可穿戴机器人物理界面上的力分布对用户安全和舒适至关重要,但在很大程度上被忽视了。我们提出了一种新的计算模型,以界面几何形状和绑带张力作为输入,并将支撑表面作为弹性基础来预测用户穿上过程中产生的静压场。通过将市售界面静压场估算值与实验数据进行比较,验证了该计算方法的准确性。虽然测量的压力值明显低于模型预测,可能是由于与模型设计相关的假设和限制相结合,但观察到相似的加载模式。从模拟和类似的模式中识别高压区域,可以可靠地缩放以减少不准确性,并可用于通知设计。该模型的进一步改进将为开发更舒适、更安全的可穿戴机器人界面提供有价值的工具。
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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