Skip to main content
SpringerLink
Log in

Interactive Animation of Agent Formation Based on Hopfield Neural Networks

  • Conference paper
Bio-Inspired Systems: Computational and Ambient Intelligence (IWANN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5517))

Included in the following conference series:

Abstract

Formation of agents is of recent interest in computer sciences, robotics and control systems. Several goal formation strategies may be of interest according to the sensory capabilities of the agents. This paper addresses the formation of mobile agents in absolute positioning without order. In this paper a control system based on Hopfiled neural networks is proposed. The paper summarizes the control system and describes a JAVA-based application developed to visualize the control system behavior. This interactive animation tool improves the understanding of and intuition for a number of aspects dealing with the formation of agents such as agents dynamics. This tool allows to directly manipulate graphical representation of the systems such as initial configuration of the agents, and get instant feedback on the effects.

Work partially supported by CONACyT (grant 45826).

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

  1. Fierro, R., Song, P., Das, A., Kumar, V.: Cooperative control of robot formation. In: Murphey, R., Pardalos, P. (eds.) Cooperative Control and Optimization, Applied Optimization, ch. 5, vol. 66, pp. 73–93. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  2. Arai, T., Pagello, E., Parker, L.E.: Editorial: Advances in multi–robot systems. IEEE Transactions on Robotics and Automation 18(5), 655–661 (2002)

    Article  Google Scholar 

  3. Desai, J.P.: A graph theoretic approach for modeling mobile robot team formations. Journal of Robotic Systems 19(11), 511–525 (2002)

    Article  MATH  Google Scholar 

  4. Lin, Z., Broucke, M., Francis, B.: Local control strategies for group of mobile autonomous agents. IEEE Trans. on Automatic Control 49(4), 622–629 (2004)

    Article  MathSciNet  Google Scholar 

  5. Khalil, H.: Nonlinear Systems Analysis, 2nd edn. Prentice-Hall, Englewood Cliffs (1996)

    Google Scholar 

  6. Haykin, S.: Neural networks: A comprehensive foundation. Macmillan College Publishing Company, Basingstoke (1994)

    MATH  Google Scholar 

  7. Hagan, M.T., Demuth, H.B., Beale, M.: Neural network design. PWS Publishing Company (1996)

    Google Scholar 

  8. Sudharsanan, S.I., Sundareshan, M.K.: Equilibrium characterization of dynamical neural networks and a systematic synthesis procedure for associative memories. IEEE Tranns. on Neural Networks 2(5) (1991)

    Google Scholar 

  9. Fredslund, J., Mataric, M.J.: A general algorithm for robot formation using local sensing and minimal communication. IEEE Transactions on Robotics and Automation 18(5), 837–846 (2002)

    Article  Google Scholar 

  10. Gazi, V.: Formation control of a multi-agent system using nonlinear servomechanism. International Journal of Control 78(8), 554–565 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  11. Dormido, S.: Control learning: present and future. In: Proc. of the 15th IFAC World Congress, Barcelona, Spain, pp. 81–103 (2002)

    Google Scholar 

  12. Kelly, R., Dormido, S., Monroy, C., Díaz, E.: Learning control of robot manipulators by interactive simulation. Robotica 23, 515–520 (2004)

    Article  Google Scholar 

  13. Esquembre, F.: Easy Java Simulations: A software tool to create scientific simulations in Java. Computer Physics Communications 156, 199–204 (2004)

    Article  Google Scholar 

  14. Sanchez, J., Esquembre, F., Martin, C., Dormido, S., Dormido–Canto, S., Canto, R.D., Pastor, R., Urquia, A.: Easy Java Simulations: an open–source tool to develop interactive virtual laboratories using MATLAB/Simulink. International Journal of Engineering Education 21(5), 798–813 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. División de Física Aplicada, CICESE, Carretera Tijuana–Ensenada Km. 107, Ensenada, B. C., 22800, Mexico

    Rafael Kelly

  2. Instituto Tecnológico de La Laguna, Apdo. Postal 49, Adm. 1, Torreón Coahuila, 2007, Mexico

    Carmen Monroy

Authors
  1. Rafael Kelly
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Carmen Monroy
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Departamento de Ingeniería Electrónica, Universitat Politècnica de Catalunya (UPC). E.T.S.I. de Telecomunicación., , , ,, Campus Norte, Edificio C4, C/ Jordi Girona, 1-3, E08034, Barcelona, Spain

    Joan Cabestany

  2. Grupo ISIS, Dpto. Tecnología Electrónica ETSI Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain

    Francisco Sandoval

  3. Department of Computer Architecture and Computer Technology, University of Granada, Spain

    Alberto Prieto

  4. Department of Informatics, University of Salamanca, Salamanca, Spain

    Juan M. Corchado

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kelly, R., Monroy, C. (2009). Interactive Animation of Agent Formation Based on Hopfield Neural Networks. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds) Bio-Inspired Systems: Computational and Ambient Intelligence. IWANN 2009. Lecture Notes in Computer Science, vol 5517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02478-8_67

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02478-8_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02477-1

  • Online ISBN: 978-3-642-02478-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation