http://www.cnr.it/ontology/cnr/individuo/prodotto/ID314296
Design and Characterization of a Nanocomposite Pressure Sensor Implemented in a Tactile Robotic System (Articolo in rivista)
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- Label
- Design and Characterization of a Nanocomposite Pressure Sensor Implemented in a Tactile Robotic System (Articolo in rivista) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/TIM.2011.2121290 (literal)
- Alternative label
Massaro, Alessandro; Spano, Fabrizio; Lay-Ekuakille, Aime; Cazzato, Paolo; Cingolani, Roberto; Athanassiou, Athanassia (2011)
Design and Characterization of a Nanocomposite Pressure Sensor Implemented in a Tactile Robotic System
in IEEE transactions on instrumentation and measurement
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Massaro, Alessandro; Spano, Fabrizio; Lay-Ekuakille, Aime; Cazzato, Paolo; Cingolani, Roberto; Athanassiou, Athanassia (literal)
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- ISI Web of Science (WOS) (literal)
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- Istituto Italiano di Tecnologia - IIT; University of Salento; Consiglio Nazionale delle Ricerche (CNR NANO); Istituto Italiano di Tecnologia - IIT (literal)
- Titolo
- Design and Characterization of a Nanocomposite Pressure Sensor Implemented in a Tactile Robotic System (literal)
- Abstract
- In this paper, we present the implementation of a new class of optical pressure sensors in a robotic tactile-sensing system based on polydimethylsiloxane (PDMS). The sensor consists of a tapered optical fiber, where an optical signal goes across, embedded into a PDMS-gold nanocomposite material (GNM). By applying different pressure forces onto the PDMS-based nanocomposite, changes in the optical transmittivity of the fiber can be detected in real time due to the coupling between the GNM and the tapered fiber region. The intensity reduction of a transmitted light is correlated to the pressure force magnitude. Light intensity is converted into an electric signal by a system suitable for robotic implementation. High sensitivity using forces by applying weights of a few grams is proved. Sensitivity on the order of 5 g is checked. A detailed algorithm for the detection of roughness and shapes by means of a robotic finger is proposed. (literal)
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