Skip to main content

On the Task Distribution Between Control and Mechanical Systems

A Case Study with an Amoeboid Modular Robot

  • Chapter
Book cover 50 Years of Artificial Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4850))

Abstract

This paper introduces our robotic case study which is intended to intensively investigate the neural-body coupling, i.e., how the task distribution between control and mechanical systems should be achieved, so as to emerge useful functionalities. One of the significant features of this case study is that we have employed a collective behavioral approach. More specifically, we have focused on an “embodied” coupled nonlinear oscillator system by which we have generated one of the most primitive yet flexible locomotion, i.e., amoeboid locomotion, in the hope that this primitiveness allows us to investigate the neural-body coupling effectively. Experiments we have conducted strongly support that there exists an “ecologically-balanced” task distribution, under which significant abilities such as real-time adaptivity emerge.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • McGeer, T.: Passive dynamic walking. The International Journal of Robotics Research 9(2), 61–82 (1990)

    Article  Google Scholar 

  • Pfeifer, R., Iida, F.: Morphological computation: connecting body, brain and environment. Japanese Scientific Monthly 58(2), 48–54 (2005)

    Google Scholar 

  • Matsushita, K., Lungarella, M., Paul, C., Yokoi, H.: Locomoting with less computation but more morphology. In: Proc. of the 2005 IEEE International Conference on Robotics and Automation, pp. 2020–2025 (2005)

    Google Scholar 

  • Ishiguro, A., Kawakatsu, T.: How should control and body systems be coupled? — a robotic case study. In: Iida, F., Pfeifer, R., Steels, L., Kuniyoshi, Y. (eds.) Embodied Artificial Intelligence. LNCS (LNAI), vol. 3139, pp. 107–118. Springer, Heidelberg (2004)

    Google Scholar 

  • Nakagaki, T., Yamada, H., Tóth, Á.: Maze-solving by an Amoeboid Organism. Nature 407, 470 (2000)

    Article  Google Scholar 

  • Takamatsu, A., Tanaka, R., Yamada, H., Nakagaki, T., Fujii, T., Endo, I.: Spatiotemporal Symmetry in Rings of Coupled Biological Oscillators of Physarum Plasmodial Slime Mold. Physical Review Letters 87(7), 78102 (2001)

    Article  Google Scholar 

  • Ishiguro, A., Shimizu, M., Kawakatsu, T.: Don’t try to control everything!: an emergent morphology control of a modular robot. In: Proc. of the 2004 IEEE International Conference on Robotics and Automation, pp. 981–985 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Max Lungarella Fumiya Iida Josh Bongard Rolf Pfeifer

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Ishiguro, A., Shimizu, M. (2007). On the Task Distribution Between Control and Mechanical Systems. In: Lungarella, M., Iida, F., Bongard, J., Pfeifer, R. (eds) 50 Years of Artificial Intelligence. Lecture Notes in Computer Science(), vol 4850. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77296-5_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-77296-5_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77295-8

  • Online ISBN: 978-3-540-77296-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics