Abstract
This paper presents a multi-layered piezoelectric nanosensor designed for robotic exoskeletons, aimed at enhancing neuro-muscular rehabilitation. Green-driven methods were used to achieve biocompatibility throught the incorporation of carbon-based nano-inks, reduced graphene oxide, and an optimized piezoelectric layer to
enhance electrical conductivity under mechanical stress. These components are integrated with a triboelectric layer composed of a teflon-copper core. Electrical characterization tests demonstrate that the proposed sensor exhibits robust performance and high reliability, both critical issues for hand grasping sensing under rehabilitation scenarios.
enhance electrical conductivity under mechanical stress. These components are integrated with a triboelectric layer composed of a teflon-copper core. Electrical characterization tests demonstrate that the proposed sensor exhibits robust performance and high reliability, both critical issues for hand grasping sensing under rehabilitation scenarios.
| Original language | English |
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| Title of host publication | Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics |
| Pages | 640-644 |
| Number of pages | 5 |
| DOIs | |
| State | Published - 20 Nov 2024 |
Publication series
| Name | Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics |
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