Paper
11 July 2002 Mechanical characterization of artificial muscles with computer vision
R. Verdu, Juan Morales-Sanchez, Antonio Jesus Fernandez-Romero, M. T. Cortes, Toribio Fernandez Otero, Luis Weruaga-Prieto
Author Affiliations +
Abstract
Conducting polymers are new materials that were developed in the late 1970s as intrinsically electronic conductors at the molecular level. The presence of polymer, solvent, and ionic components reminds one of the composition of the materials chosen by nature to produce muscles, neurons, and skin in living creatures. The ability to transform electrical energy into mechanical energy through an electrochemical reaction, promoting film swelling and shrinking during oxidation or reduction, respectively, produces a macroscopic change in its volume. On specially designed bi-layer polymeric stripes this conformational change gives rise to stripe curl and bending, where the position or angle of the free end of the polymeric stripe is directly related to the degree of oxidation, or charged consumed. Study of these curvature variations has been currently performed only in a manual basis. In this paper we propose a preliminary study of the polymeric muscle electromechanical properties by using a computer vision system. The vision system required is simple: it is composed of cameras for tracking the muscle from different angles and special algorithms, based on active contours, to analyse the deformable motion. Graphical results support the validity of this approach, which opens the way for performing automatic testing on artificial muscles with commercial purposes.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Verdu, Juan Morales-Sanchez, Antonio Jesus Fernandez-Romero, M. T. Cortes, Toribio Fernandez Otero, and Luis Weruaga-Prieto "Mechanical characterization of artificial muscles with computer vision", Proc. SPIE 4695, Smart Structures and Materials 2002: Electroactive Polymer Actuators and Devices (EAPAD), (11 July 2002); https://doi.org/10.1117/12.475172
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Cited by 8 scholarly publications.
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KEYWORDS
Polymers

Artificial muscles

Cameras

Detection and tracking algorithms

Oxidation

Polymer thin films

Electrodes

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