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    An estimation of triaxial forces from normal stress tactile sensor arrays

    • Autor
      Pinto-Salamanca, María L.; Castellanos-Ramos, Julián; Pérez-Holguín, Wilson J.; Hidalgo-López, José AntonioAutoridad Universidad de Málaga
    • Fecha
      2023-10-04
    • Editorial/Editor
      Elsevier
    • Palabras clave
      Electrónica; Detectores; Efecto Volta; Detección de señales
    • Resumen
      This work proposes a new method to find an optimal solution of the inverse problem of the Boussinesq equation for ill-posed problems, applicable in the reconstruction of triaxial forces for processing contact data in tactile decoding systems. This paper focuses on the estimation of triaxial forces from normal stress tactile sensor arrays on flat non-deformable surfaces for single static contacts. This method estimates a triaxial force vector on the sensor coverage surface for each stress value from the relation between the stress data and the applied normal and tangential contact forces. The main contribution of this work consists of a new procedure for estimating contact forces simplifying both arithmetic operations and the optimization process used. Because of this, obtaining a force estimation has a predictable computation time, which makes this new method an attractive solution for implementation in hardware-based real-time tactile sensing systems. The verification process was conducted using a Finite Element Analysis (FEA) as a reference. When testing tactile sensors in a range of sizes and resolutions for piezoelectric and piezoresistive technologies, a maximum estimation error of 10.93% was obtained, including errors due to the array discretization.
    • URI
      https://hdl.handle.net/10630/27921
    • DOI
      https://dx.doi.org/10.1016/j.mechatronics.2023.103070
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    1-s2.0-S0957415823001265-main.pdf (1.855Mb)
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    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
     

     

    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA