Journal
PHYSICS LETTERS A
Volume 492, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.physleta.2023.129219
Keywords
Optical fiber sensor; Mach-Zehnder interferometer; Machine learning; Flexible sensor
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This paper introduces an all-fiber flexible soft sensor that combines machine learning methods to recognize its own twisted shape. With high accuracy, simple structure, and reliable performance, the sensor shows great potential in intelligent robots, medical rehabilitation, surgical endoscopes, and object recognition.
This paper introduces an all-fiber flexible soft sensor that combines machine learning methods to acquire the ability to recognize its own twisted shape. The sensor is twisted into various shapes, the recognition accuracy of the shapes can reach 100 %. Unlike existing sensors, which require multiple sensors to form an array, such sensor requires only a single optical fiber MZI (Mach-Zehnder interferometer) embedded inside the flexible material, which makes the sensing structure and wiring connection very simple. At the same time, the sensor presents very good reliability, bend sensitivity and repeatability. Its temperature performance is also investigated. All above highlighting its great potential in intelligent robots, medical rehabilitation, surgical endoscopes, and object recognition.
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