Literature DB >> 29412084

Fiber-Reinforced Origamic Robotic Actuator.

Juan Yi1,2, Xiaojiao Chen1, Chaoyang Song3, Zheng Wang1,2.   

Abstract

A novel pneumatic soft linear actuator Fiber-reinforced Origamic Robotic Actuator (FORA) is proposed with significant improvements on the popular McKibben-type actuators, offering nearly doubled motion range, substantially improved force profile, and significantly lower actuation pressure. The desirable feature set is made possible by a novel soft origamic chamber that expands radially while contracts axially when pressurized. Combining this new origamic chamber with a reinforcing fiber mesh, FORA generates very high traction force (over 150N) and very large contractile motion (over 50%) at very low input pressure (100 kPa). We developed quasi-static analytical models both to characterize the motion and forces and as guidelines for actuator design. Fabrication of FORA mostly involves consumer-grade three-dimensional (3D) printing. We provide a detailed list of materials and dimensions. Fabricated FORAs were tested on a dedicated platform against commercially available pneumatic artificial muscles from Shadow and Festo to showcase its superior performances and validate the analytical models with very good agreements. Finally, a robotic joint was developed driven by two antagonistic FORAs, to showcase the benefits of the performance improvements. With its simple structure, fully characterized mechanism, easy fabrication procedure, and highly desirable performance, FORA could be easily customized to application requirements and fabricated by anyone with access to a 3D printer. This will pave the way to the wider adaptation and application of soft robotic systems.

Entities:  

Keywords:  actuator modeling; origami; soft actuator; soft robots

Year:  2017        PMID: 29412084     DOI: 10.1089/soro.2016.0079

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


  3 in total

1.  Mechanoreception for Soft Robots via Intuitive Body Cues.

Authors:  Liangliang Wang; Zheng Wang
Journal:  Soft Robot       Date:  2019-11-05       Impact factor: 8.071

2.  Self-Sensing Pneumatic Compressing Actuator.

Authors:  Nan Lin; Hui Zheng; Yuxuan Li; Ruolin Wang; Xiaoping Chen; Xinming Zhang
Journal:  Front Neurorobot       Date:  2020-12-11       Impact factor: 2.650

3.  Model-Based Control and External Load Estimation of an Extensible Soft Robotic Arm.

Authors:  Xiaojiao Chen; Dehao Duanmu; Zheng Wang
Journal:  Front Robot AI       Date:  2021-01-29
  3 in total

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