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Information Processing Using Soft Body Dynamics

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The Science of Soft Robots

Part of the book series: Natural Computing Series ((NCS))

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Abstract

In this chapter, we address how the introduction of softness into robots will enable unprecedented information-processing functionalities. In Sect. 15.1, we show how softening a robot’s body activates the control outsourcing to the body. Based on several examples, we provide an overview of the key concept of “embodiment,” under which an intelligent system is viewed as a brain–body–environment system. In Sect. 15.2, we present simple examples to introduce how machine learning techniques for soft robots can be used effectively. In Sect. 15.3, building on the contents of the previous sections, we introduce the concept of physical reservoir computing. We delve into the mathematics of the information-processing capabilities brought about by softness, based on the example of a computer with an octopus arm and a soft interface called a soft keyboard.

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Authors and Affiliations

  1. Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

    Kohei Nakajima

  2. Department of Applied Physics, Faculty of Science and Engineering, Waseda University, Tokyo, Japan

    Hideyuki Sawada

  3. Graduate School of Informatics, Kyoto University, Kyoto, Japan

    Nozomi Akashi

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Correspondence to Kohei Nakajima .

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  1. School of Engineering, Tokyo Institute of Technology, Tokyo, Japan

    Koichi Suzumori

  2. RIKEN Thin-Film Device Laboratory, Wako, Saitama, Japan

    Kenjiro Fukuda

  3. Graduate School of Science and Technology, Meiji University, Kanagawa, Japan

    Ryuma Niiyama

  4. Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

    Kohei Nakajima

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Nakajima, K., Sawada, H., Akashi, N. (2023). Information Processing Using Soft Body Dynamics. In: Suzumori, K., Fukuda, K., Niiyama, R., Nakajima, K. (eds) The Science of Soft Robots. Natural Computing Series. Springer, Singapore. https://doi.org/10.1007/978-981-19-5174-9_15

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  • DOI: https://doi.org/10.1007/978-981-19-5174-9_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-5173-2

  • Online ISBN: 978-981-19-5174-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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