TY - GEN
T1 - Nanosensors for Soft Robotics Exoskeletons
AU - Cuellar, Fredy A.
AU - Salcedo-Reyes, Juan C.
AU - Montoya, Diana
AU - Alvarado-Rojas, Catalina
AU - Colorado, Julian D.
N1 - Publisher Copyright:
© 2024 by SCITEPRESS– Science and Technology Publications, Lda.
PY - 2024/11/20
Y1 - 2024/11/20
N2 - This paper presents a multi-layered piezoelectric nanosensor designed for robotic exoskeletons, aimed at en hancing 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 rehabili tation scenarios.
AB - This paper presents a multi-layered piezoelectric nanosensor designed for robotic exoskeletons, aimed at en hancing 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 rehabili tation scenarios.
KW - Biocompatibility
KW - Carbon-Based Nano-Inks
KW - Mechanical Stress Characterization
KW - Neuromuscular Rehabilitation
KW - Piezoelectric Sensor
KW - Reduced Graphene Oxide
KW - Robotic Exoskeletons
KW - Therapeutic Applications
KW - Wearable Healthcare Technologies
UR - https://www.scitepress.org/Papers/2024/129065/129065.pdf
U2 - 10.5220/0012906500003822
DO - 10.5220/0012906500003822
M3 - Conference contribution
AN - SCOPUS:105001386113
SN - 978-989-758-717-7
VL - 1
T3 - Proceedings of the International Conference on Informatics in Control, Automation and Robotics
SP - 640
EP - 644
BT - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics
T2 - 21st International Conference on Informatics in Control, Automation and Robotics, ICINCO 2024
Y2 - 18 November 2024 through 20 November 2024
ER -