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Preprocessing the Structural Optimization of the SPELTRA Robotic Assistant by Numerical Simulation Based on Finite Elements

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Advances in Design for Inclusion (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 776))

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Abstract

This project will structurally optimize the robotic assistant SPELTRA (Robotic Assistant for Speech and Language Therapy) that serves as pedagogical support to children with and without disabilities who are benefiting through the UNESCO Chair and Assistance Technologies (GI-IATa) of the UPS. This process would be carrying out through the study of different geometries and materials considering certain aspects technical and economic that will help to define by weighting parameters the optimal geometry and two possible materials for the design and creation of the new structure of the robot. After, will be defined all the variables and restrictions affecting the SPELTRA during the manipulation to which it is subjected in the robot-human interaction, thus establishing the structural model. For its analysis, CAD-CAE computational tools based on finite elements will be using and it will can to observe the possible deformations, efforts and safety factor to which would be subjected.

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Authors and Affiliations

  1. GI-IATa, Cátedra UNESCO Tecnologías de Apoyo a La Inclusión Educativa, Universidad Politécnica Salesiana, Cuenca, Ecuador

    Graciela Serpa-Andrade, Luis Serpa-Andrade & Vladimir Robles-Bykbaev

Authors
  1. Graciela Serpa-Andrade
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  2. Luis Serpa-Andrade
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  3. Vladimir Robles-Bykbaev
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Corresponding author

Correspondence to Graciela Serpa-Andrade .

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Editors and Affiliations

  1. Dipartimento di Architettura, University of Chieti-Pescara, Pescara, Italy

    Giuseppe Di Bucchianico

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Serpa-Andrade, G., Serpa-Andrade, L., Robles-Bykbaev, V. (2019). Preprocessing the Structural Optimization of the SPELTRA Robotic Assistant by Numerical Simulation Based on Finite Elements. In: Di Bucchianico, G. (eds) Advances in Design for Inclusion. AHFE 2018. Advances in Intelligent Systems and Computing, vol 776. Springer, Cham. https://doi.org/10.1007/978-3-319-94622-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-94622-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94621-4

  • Online ISBN: 978-3-319-94622-1

  • eBook Packages: EngineeringEngineering (R0)

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