Literature DB >> 33216699

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

David Bombara1, Steven Fowzer1, Jun Zhang1.   

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.

Entities:  

Keywords:  self-sensing; supercoiled polymers; twisted string actuators

Year:  2020        PMID: 33216699     DOI: 10.1089/soro.2020.0086

Source DB:  PubMed          Journal:  Soft Robot        ISSN: 2169-5172            Impact factor:   8.071


  1 in total

1.  A Proprioceptive Soft Robot Module Based on Supercoiled Polymer Artificial Muscle Strings.

Authors:  Yang Yang; Honghui Zhu; Jia Liu; Haojian Lu; Yi Ren; Michael Yu Wang
Journal:  Polymers (Basel)       Date:  2022-06-01       Impact factor: 4.967

  1 in total

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