Soft Radio-Frequency Identification Sensors: Wireless Long-Range Strain Sensors Using Radio-Frequency Identification.

RFID antenna passive soft sensing wireless

Journal

Soft robotics
ISSN: 2169-5180
Titre abrégé: Soft Robot
Pays: United States
ID NLM: 101623819

Informations de publication

Date de publication:
02 2019
Historique:
pubmed: 9 11 2018
medline: 9 11 2018
entrez: 9 11 2018
Statut: ppublish

Résumé

Increasing amounts of attention are being paid to the study of Soft Sensors and Soft Systems. Soft Robotic Systems require input from advances in the field of Soft Sensors. Soft sensors can help a soft robot to perceive and to act upon its immediate environment. The concept of integrating sensing capabilities into soft robotic systems is becoming increasingly important. One challenge is that most of the existing soft sensors have a requirement to be hardwired to power supplies or external data processing equipment. This requirement hinders the ability of a system designer to integrate soft sensors into soft robotic systems. In this article, we design, fabricate, and characterize a new soft sensor, which benefits from a combination of radio-frequency identification (RFID) tag design and microfluidic sensor fabrication technologies. We designed this sensor using the working principle of an RFID transporter antenna, but one whose resonant frequency changes in response to an applied strain. This new microfluidic sensor is intrinsically stretchable and can be reversibly strained. This sensor is a passive and wireless device, and as such, it does not require a power supply and is capable of transporting data without a wired connection. This strain sensor is best understood as an RFID tag antenna; it shows a resonant frequency change from approximately 860 to 800 MHz upon an applied strain change from 0% to 50%. Within the operating frequency, the sensor shows a standoff reading range of >7.5 m (at the resonant frequency). We characterize, experimentally, the electrical performance and the reliability of the fabrication process. We demonstrate a pneumatic soft robot that has four microfluidic sensors embedded in four of its legs, and we describe the implementation circuit to show that we can obtain movement information from the soft robot using our wireless soft sensors.

Identifiants

pubmed: 30407119
doi: 10.1089/soro.2018.0026
pmc: PMC6386780
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

82-94

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Auteurs

Lijun Teng (L)

1 The School of Engineering, Institute for Integrated Micro and Nano Systems, The University of Edinburgh, The King's Buildings, Edinburgh, United Kingdom.

Kewen Pan (K)

2 Microwave and Communication Systems Group, School of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom.

Markus P Nemitz (MP)

1 The School of Engineering, Institute for Integrated Micro and Nano Systems, The University of Edinburgh, The King's Buildings, Edinburgh, United Kingdom.
3 Department of Computer Science and Engineering, University of Michigan, Ann Arbor, Michigan.

Rui Song (R)

1 The School of Engineering, Institute for Integrated Micro and Nano Systems, The University of Edinburgh, The King's Buildings, Edinburgh, United Kingdom.

Zhirun Hu (Z)

2 Microwave and Communication Systems Group, School of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom.

Adam A Stokes (AA)

1 The School of Engineering, Institute for Integrated Micro and Nano Systems, The University of Edinburgh, The King's Buildings, Edinburgh, United Kingdom.

Classifications MeSH