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柔顺、大应变且自感知的扭线致动器。

Compliant, Large-Strain, and Self-Sensing Twisted String Actuators.

作者信息

Bombara David, Fowzer Steven, Zhang Jun

机构信息

Department of Mechanical Engineering, University of Nevada, Reno, Nevada, USA.

出版信息

Soft Robot. 2022 Feb;9(1):72-88. doi: 10.1089/soro.2020.0086. Epub 2020 Nov 20.

Abstract

Twisted string actuators (TSAs) convert rotational motion from twisting into linear motion. They are known for high energy efficiency, and large linear strain and stress outputs. Although they have been successfully applied as the moving mechanism for different robot applications, their potential in soft robotics is mainly challenged by two aspects: First, the conventional strings of TSAs are stiff and strong but not compliant. Second, precise control of TSAs predominantly relies on external position or force sensors. Because of these, TSA-driven robots are often rigid and bulky. In this study, we propose the design, modeling, and robotic application of TSAs that are compliant, can produce large strain, and are capable of self-sensing during twisting-induced actuation. The design is realized by replacing conventional stiff strings with compliant, thermally activated, and conductive supercoiled polymer strings. Experiments show that the developed TSAs have normalized stiffness of <50 N, strain >30%, and position self-sensing capability during twisting. The quasi-static actuation and self-sensing properties are accurately captured by the Preisach hysteresis operators. In particular, both the twisting-induced actuation and thermally induced actuation are considered. Finally, the proposed TSAs are successfully demonstrated in a low-cost three-dimensionally printed compliant robotic gripper.

摘要

扭线致动器(TSAs)将扭转产生的旋转运动转换为线性运动。它们以高能效、大线性应变和应力输出而闻名。尽管它们已成功应用于不同机器人应用的运动机构,但它们在软机器人领域的潜力主要受到两个方面的挑战:第一,传统的TSA线坚硬且坚固,但不柔顺。第二,TSAs的精确控制主要依赖于外部位置或力传感器。因此,由TSA驱动的机器人通常又硬又笨重。在本研究中,我们提出了一种TSAs的设计、建模及机器人应用,该TSAs柔顺、能产生大应变且在扭转致动过程中具备自感知能力。该设计通过用柔顺的、热激活的和导电的超螺旋聚合物线取代传统的硬线来实现。实验表明,所开发的TSAs的归一化刚度<50 N,应变>30%,且在扭转过程中具有位置自感知能力。Preisach磁滞算子能准确捕捉准静态致动和自感知特性。特别地,同时考虑了扭转致动和热致动。最后,所提出的TSAs在低成本的三维打印柔顺机器人夹具中得到了成功演示。

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