Skip to main content
SpringerLink
Log in

Robot populations and their controlled evolution

  • Original Article
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

This paper reports recent results in controllability theory for a class of positive linear discrete-time systems which were employed to examine and analyse the reachability and controllability properties of cohort-type population models representing the dynamics of autonomous intelligent robot communities.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Sekiyama K, Fukuda T (1996) Self-organising control strategy for group robotics. Adv Robotics 10:637–658

    Google Scholar 

  2. Takadama K, Haiiri K, Nomura T, et al. (1998) Organizational knowledge on formation in multiple robots learning. In: Sugisaka M (ed) Proceedings of the 3rd International Symposium Artificial Life and Robotics. Beppu, Japan, pp 397–401

  3. Agah A, Bekey GA (1994) Autonomous mobile robot teams. In: Proceedings of the AIAA/NASA Conference on Intelligent Robots in Field, Factory, Service and Space. Houston, vol. 1, pp 246–251

  4. Yoshida E, Arai T, Ota J (1998) Local communication of multiple mobile robots: design of group behaviour for efficient communication. Adv Robotics 11:759–779

    Google Scholar 

  5. Suzuki T, Fujii T, Asama H, et al. (1998) A multi-robot teleoperation system using the Internet. Adv Robotics 11:781–797

    Article  Google Scholar 

  6. Hirosi S (1992) A dispute over robots. Robots of the future. Adv Robotics 6:231–241

    Google Scholar 

  7. Agah A (1996) Robot teams, human workgroups and animal sociobiology: a review of research on natural and artificial multi-agent autonomous systems. Adv Rabotics 10:523–545

    Google Scholar 

  8. Luenberger D (1979) Introduction to dynamical systems: theory, models and applications. Wiley, New York

    Google Scholar 

  9. Rumchev VG, James DJG (1989) Controllability of positive linear systems. Int J Control 50:845–857

    MATH  MathSciNet  Google Scholar 

  10. Caccetta L, Rumchev VG (1998) Reachable discrete-time systems with minimal dimension control sets. Dyn Contin Discrete Impulsive Syst 4:539–552

    MATH  MathSciNet  Google Scholar 

  11. Rouhani R, Tse E (1981) Structural design for classes of positive linear systems. IEEE Trans Syst Man Cybern 11:126–134

    Article  MATH  MathSciNet  Google Scholar 

  12. Rumchev VG (1999) Positive reachability and controllability criteria in digraph form. In: Proceedings of the 24th Australasian Conference on Combinatorial Mathematics and Combinatorial Computing. Darwin, Australia

Download references

Author information

Authors and Affiliations

  1. Control Theory and Applications Centre, Coventry University, CV1 5FB, Coventry, UK

    D. J. Glyn James

  2. School of Mathematics and Statistics, Curtin University of Technology, Perth, Australia

    Ventsi G. Rumchev

Authors
  1. D. J. Glyn James
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ventsi G. Rumchev
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to D. J. Glyn James.

About this article

Cite this article

James, D.J.G., Rumchev, V.G. Robot populations and their controlled evolution. Artif Life Robotics 4, 137–142 (2000). https://doi.org/10.1007/BF02481334

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02481334

Key words

Search

Navigation