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Robotizing the Bio-inspiration

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Robot Intelligence Technology and Applications 5 (RiTA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 751))

Abstract

Imitating natural living beings remains a perpetual curiosity of human beings. The pursuit of replicating biological systems led humans to develop contemporary machines—the robots with diverse range of shapes, sizes, capabilities and applications. Such systems may exhibit strength, control and operation sustainability; however, rigidness of the hard underlying mechanical structures is one of the major constraints in achieving compliance like that of natural organisms and species. This constraint is required to be softened to create biological duos with enhanced structural compliance. This demarcation has led to a new corridor to craft biological mockups, and has made doors opened to exploit new materials, novel design methodologies and innovative control techniques. This paper is an exclusive appraisal to bio-inspired state-of-the-art developments conferring their design specific importance. The methodical study and survey of corresponding structural designs, actuation techniques, sensors, and materials is potentially useful to demonstrate the novelty of bio-inspired robotic developments. Keywords: Soft robotics, bio-inspiration, novelty, flexibility, softness and compliance.

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Authors and Affiliations

  1. DIME PMAR, University of Genova, Via all’Opera Pia 15A, 16145, Genoa, Italy

    Ahmad Mahmood Tahir, Giovanna A. Naselli & Matteo Zoppi

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  1. Ahmad Mahmood Tahir
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  3. Matteo Zoppi
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Correspondence to Ahmad Mahmood Tahir .

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Editors and Affiliations

  1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

    Jong-Hwan Kim

  2. Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

    Hyun Myung

  3. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

    Junmo Kim

  4. Department of Mechanical Engineering, The University of Auckland, Auckland, New Zealand

    Weiliang Xu

  5. Department of Computer and Information Technology, Purdue University, West Lafayette, Indiana, USA

    Eric T Matson

  6. Department of Computer Science and Engineering, Dongguk University, Seoul, Korea (Republic of)

    Jin-Woo Jung

  7. Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

    Han-Lim Choi

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Tahir, A.M., Naselli, G.A., Zoppi, M. (2019). Robotizing the Bio-inspiration. In: Kim, JH., et al. Robot Intelligence Technology and Applications 5. RiTA 2017. Advances in Intelligent Systems and Computing, vol 751. Springer, Cham. https://doi.org/10.1007/978-3-319-78452-6_27

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