Soft Self-Healing Fluidic Tactile Sensors with Damage Detection and Localization Abilities.
Publication Date
2021-12-11Journal Title
Sensors (Basel)
ISSN
1424-8220
Publisher
MDPI AG
Volume
21
Issue
24
Language
en
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
George Thuruthel, T., Bosman, A. W., Hughes, J., & Iida, F. (2021). Soft Self-Healing Fluidic Tactile Sensors with Damage Detection and Localization Abilities.. Sensors (Basel), 21 (24) https://doi.org/10.3390/s21248284
Abstract
Self-healing sensors have the potential to increase the lifespan of existing sensing technologies, especially in soft robotic and wearable applications. Furthermore, they could bestow additional functionality to the sensing system because of their self-healing ability. This paper presents the design for a self-healing sensor that can be used for damage detection and localization in a continuous manner. The soft sensor can recover full functionality almost instantaneously at room temperature, making the healing process fully autonomous. The working principle of the sensor is based on the measurement of air pressure inside enclosed chambers, making the fabrication and the modeling of the sensors easy. We characterize the force sensing abilities of the proposed sensor and perform damage detection and localization over a one-dimensional and two-dimensional surface using multilateration techniques. The proposed solution is highly scalable, easy-to-build, cheap and even applicable for multi-damage detection.
Keywords
soft robotic sensors, self-healing sensors, fluidic sensing, damage detection
Sponsorship
This work was supported by the SHERO project, a Future and Emerging Technologies284(FET) programme of the European Commission (grant agreement ID 828818)
Funder references
European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (828818)
Identifiers
External DOI: https://doi.org/10.3390/s21248284
This record's URL: https://www.repository.cam.ac.uk/handle/1810/331889
Rights
Licence:
https://creativecommons.org/licenses/by/4.0/
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.