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Embodied Artificial Intelligence pp 312–330Cite as

Self-Reconfigurable Robots: Platforms for Emerging Functionality

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3139))

Abstract

We have studied modular self-reconfigurable robots that are capable of changing their overall shape and functionality by automatic recombination of homogenous robotic modules. Our latest model, called Modular Transformer (M-TRAN), is able to metamorphose into various 3-D configurations and generate robotic motions that are suitable to its configuration. This paper presents a review of hardware design of the module, some developed software for self-reconfiguration and motion generation, and some experimental results.

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Author information

Authors and Affiliations

  1. Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 4259 Nagatsuda, Midori, Yokohama, 226-8502, Japan

    Satoshi Murata

  2. National Institute of Advanced Industrial Science and Technology (AIST), 1-2 Namiki, Tsukuba, 305-8564, Japan

    Satoshi Murata, Akiya Kamimura, Haruhisa Kurokawa, Eiichi Yoshida, Kohji Tomita & Shigeru Kokaji

Authors
  1. Satoshi Murata
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  2. Akiya Kamimura
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  3. Haruhisa Kurokawa
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  4. Eiichi Yoshida
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  5. Kohji Tomita
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  6. Shigeru Kokaji
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Editor information

Editors and Affiliations

  1. Artificial Intelligence Laboratory, Department of Informatics, University of Zurich, Andreasstrasse 15, CH-8050, Zurich, Switzerland

    Fumiya Iida  & Rolf Pfeifer  & 

  2. VUB AI Lab, Vrije Universiteit Brussels, Pleinlaan 2, 1050, Brussels, Belgium

    Luc Steels

  3. JST ERATO Asada Synergistic Intelligence Project,  

    Yasuo Kuniyoshi

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© 2004 Springer-Verlag Berlin Heidelberg

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Murata, S., Kamimura, A., Kurokawa, H., Yoshida, E., Tomita, K., Kokaji, S. (2004). Self-Reconfigurable Robots: Platforms for Emerging Functionality. In: Iida, F., Pfeifer, R., Steels, L., Kuniyoshi, Y. (eds) Embodied Artificial Intelligence. Lecture Notes in Computer Science(), vol 3139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27833-7_24

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  • DOI: https://doi.org/10.1007/978-3-540-27833-7_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22484-6

  • Online ISBN: 978-3-540-27833-7

  • eBook Packages: Springer Book Archive

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