Abstract
The main feature that keeps states and structures stable can be seen in living organisms. This adjusting and adaptive features are called homeostasis. This integrated adaptive feature is achieved by the cooperation of organs in living organisms. Living organisms in nature act dynamically due to this feature. Highly adaptive behavior caused by this feature is also observed in simple living organisms that have no neural circuits such as amoebas. Based on these facts, a method of control to generate homeostasis in robotic systems is proposed by assuming a robot system is an aggregation of oscillators and each parameter in a robot system is allocated to an oscillator. Especially, interaction between two independent robots as oscillator aggregation is focused in this paper.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Matthew M Williamson. Neural control of rhythmic arm movements. Neural Networks, 11(7):1379–1394, 1998.
Satoshi Ito, Hideo Yuasa, Zhi-wei Luo, Masami Ito, and Dai Yanagihara. Quadrupedal robot system adapting to environmental changes. Journal of the Robotics Society of Japan, 17(4):595–603, 1999.
Shinya Aoi and Kazuo Tsuchiya. Locomotion control of a biped robot using nonlinear oscillators. Autonomous Robots, 19(3):219–232, 2005.
Hiroshi Yokoi, Takafumi Mizuno, Masatoshi Takita, Jun Hakura, and Yukinori Kakazu. Amoeba like self-organization model using vibrating potential field. In Artificial Life V: Proceedings of the Fifth International Workshop on the Synthesis and Simulation of Living Systems, volume 5, page 51. MIT Press, 1997.
Sho Yamauchi, Hidenori Kawamura, and Keiji Suzuki. Extended flocking algorithm for self-parameter tuning. IEEJ Transactions on Electronics, Information and Systems, 133(6):Sec. C, 2013.
Sho Yamauchi, Hidenori Kawamura, and Keiji Suzuki. Observation of synchronization phenomena in structured flocking behavior. Journal of Advanced Computational Intelligence and Intelligent Informatics.
Tetsu Saigusa, Atsushi Tero, Toshiyuki Nakagaki, and Yoshiki Kuramoto. Amoebae anticipate periodic events. Physical Review Letters, 100(1):018101, 2008.
Steven H. Strogatz. SYNC: The Emerging Science of Spontaneous Order. Hyperion, 1 edition, 3 2003.
Axel Kleidon and Ralph Lorenz. 1 entropy production by earth system processes. In Non-equilibrium Thermodynamics and the Production of Entropy, pages 1–20. Springer, 2005.
Paolo Sassone-Corsi. Molecular clocks: mastering time by gene regulation. Nature, 392:871–874, 1998.
James J Collins and Ian N Stewart. Coupled nonlinear oscillators and the symmetries of animal gaits. Journal of Nonlinear Science, 3(1):349–392, 1993.
Arkady Pikovsky, Michael Rosenblum, and Juergen Kurths. Synchronization: A Universal Concept in Nonlinear Sciences (Cambridge Nonlinear Science Series). Cambridge University Press, 1 2002.
Arthur T Winfree. Biological rhythms and the behavior of populations of coupled oscillators. Journal of theoretical biology, 16(1):15–42, 1967.
John Guckenheimer. Isochrons and phaseless sets. Journal of Mathematical Biology, 1(3):259–273, 1975.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Yamauchi, S., Kawamura, H., Suzuki, K. (2016). Interaction of Two Oscillator Aggregations. In: Menegatti, E., Michael, N., Berns, K., Yamaguchi, H. (eds) Intelligent Autonomous Systems 13. Advances in Intelligent Systems and Computing, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-319-08338-4_88
Download citation
DOI: https://doi.org/10.1007/978-3-319-08338-4_88
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08337-7
Online ISBN: 978-3-319-08338-4
eBook Packages: EngineeringEngineering (R0)