Skip to main content

Multiagent Approach to Intelligent Control of Robot

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1798))

Abstract

Within the last years the paradigm of intelligent software agents became an emerging topic in computer science research and development. Intelligent software agents are computational systems that populate complex dynamic environment, act and react there in an autonomous way in order realize a specific task based on a set of goals given to them. In multi agent systems (= MAS) intelligent software agents are grouped together and represent a network of problem solvers designed to achieve a common goal, which would be too large for a single centralized software agent. The member agents of such a multi agent system have a sufficient degree of decision-making autonomy and interact with other agents by explicit communication. Therefore the main fields of interest in multi agent based system design cover coordination, communication and negotiation based on uncertain data and knowledge of each member agent of the multi agent system. This article proposes s system theoretical approach towards the design and synthesis of a multi agent system for controlling a robotic agent.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. FIPA - Foundation for Intelligent Physical Agents, Agent Management, FIPA 1997 Specification Part 1, Version 2.0, Geneva, Switzerland (October 1998)

    Google Scholar 

  2. FIPA - Foundation for Intelligent Physical Agents, Agent Communication Language, FIPA 1997 Specification Part 2, Version 2.0, Geneva, Switzerland (October 1998)

    Google Scholar 

  3. Cohen, P., Levesque, H.: Communicative Actions for Artificial Agents. In: Proceedings of the First International Conference on Multiagent Systems, San Francisco, Cambridge, pp. 65–72. AAAI Press, Menlo Park (1995)

    Google Scholar 

  4. Jacak, W., Pröll, K.: Multiagent Approach to intelligent control of robot, Robotics and Applications RA 1999. In: IASTED International Conference, Santa Barbara, USA (1999)

    Google Scholar 

  5. Brenner, W., Zarnekow, R., Wittig, H.: Intelligent Software Agents. Springer, Heidelberg (1998)

    MATH  Google Scholar 

  6. Haddadi, A.: Communication and Cooperation in Agent Systems. Springer, Heidelberg (1995)

    Google Scholar 

  7. Jacak, W.: Intelligent Robotic Systems. Kluwer Academic/Plenum Publishers (1999)

    Google Scholar 

  8. Zeigler, B.P.: Multifaceted modeling and discrete event simulation. Academic Press, London (1984)

    Google Scholar 

  9. Lee, S., Bekey, G.A.: Application of neural networks to robotics: Advances in Control and Dynamics Systems. Academic Press, London (1991)

    Google Scholar 

  10. Sciavicco, L., Siciliano, B.: A solution algorithm to the inverse kinematic problem for redundant manipulators. IEEE Trans. RA  RA-4 (1988)

    Google Scholar 

  11. Brady, M. (ed.): Robot Motion: Planning and Control. MIT Press, Cambridge (1986)

    Google Scholar 

  12. Jacak, W.: Discrete Kinematic Modelling Techniques in Cartesian Space for Robotic System. In: Leondes, C.T. (ed.) Advances in Control and Dynamics Systems. Academic Press, London (1991)

    Google Scholar 

  13. Latombe, J.C.: Robot motion planning. Kluwer Academic Pub., Boston (1991)

    Google Scholar 

  14. Lee, S., Bekey, G.A.: Applications of neural network to robotics. In: Leondes, C.T. (ed.) Control and Dynamic System: Advances in Robotic Systems. Academic Press Inc., San Diego (1991)

    Google Scholar 

  15. Park, J., Lee, S.: Neural computation for collision-free path planning. In: IEEE Inter. Joint Conf. on Neural Network, vol. 2, pp. 229–232 (1990)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jacak, W., Pröll, K. (2000). Multiagent Approach to Intelligent Control of Robot. In: Kopacek, P., Moreno-Díaz, R., Pichler, F. (eds) Computer Aided Systems Theory - EUROCAST’99. EUROCAST 1999. Lecture Notes in Computer Science, vol 1798. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720123_16

Download citation

  • DOI: https://doi.org/10.1007/10720123_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67822-9

  • Online ISBN: 978-3-540-44931-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics