Skip to main content

Multi-agent Optimal Path Planning for Mobile Robots in Environment with Obstacles

  • Conference paper
  • First Online:
Perspectives of System Informatics (PSI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1755))

Abstract

The paper describes a problem of multi-agent path plan- ning in environment with obstacles. Novel approach to multi-agent op- timal path planning, using graph representation of environment models is described. When planning the path of each robot, the graph model of environment is dynamically changed for path correction and collision avoidance. New algorithm applies changes of robots' paths and speeds to avoid collisions in multi-agent environment.

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • 1. Bogdanov, A. A., Kolushev, F. A., Optimal Path Planning and Adaptive Neural Control of Robots. Proc. of Int. Conf. on Informatics and Control, St.-Petersburg, June 9-13, 1997, pp. 600–605.

    Google Scholar 

  • 2. Kolushev, F. A., Bogdanov, A. A., Timofeev, A.V., Path Planning and Correction of Mobile Robots Motions in Multi-Agent Robotics Systems. Int. Scientific Issue “Intelligent Autonomous Systems”, Ufa State Aviation Technical Univ, 1998, pp.132–139

    Google Scholar 

  • 3. Maron O., Lozano-Perez T., Visible Decomposition: Real-Time Path Planning in Large Planar Environments. AI Memo 1638, January 1996

    Google Scholar 

  • 4. Stenz A., Map-Based strategies for Robot Navigation in Unknown Environments Proc. AAAI 96 Planning with incomplete information for Robot Problems.

    Google Scholar 

  • 5. Stenz A., The focussed D* algorithm for real-time replanning. Proceedings of the International Joint Conference on Artificial Intelligence, August 1995.

    Google Scholar 

  • 6. Brummit, B. L., Stenz, A., Dinamic Mission Planning for Multiplay Mobile Robots, Proc. IEEE International Conference on Robotics and Automation, May, 1996

    Google Scholar 

  • 7. Saffiotti A., Ruspini, E. H., Konolige, K., Robust Execution of Robot Plans Using Fuzzy Logic. Fuzzy Logic in Artificial Intelligence IJCAI 93, pp. 24–37

    Google Scholar 

  • 8. Yahja, A., Stenz, A., Singh, S., Brumitt, B. L., Framed-Quadtree Path Planning for Mobile Robots Operating in Sparse Environments. Proc. IEEE Conference on Robotics and Automation, May 1998.

    Google Scholar 

  • 9. Bugman, G., Denham, M. J., Taylor, J. G., Sensor and memory based path planning in the egocentric reference frame of an autonomous mobile robot. Reserch Report NRG-94-01, January, 1994.

    Google Scholar 

  • 10. Harinarayan, V. J. Lumelsky, Sensor-based motion planning for multiplerobots in an uncertain environment. IEEE International conference on intelligent robots and systems, pp 1485–1492, 1994

    Google Scholar 

  • 11. Kant, A., Zucker, S., Towards efficient planning: the path-velocity decomposition. International Journal of Robotics Research, 5: 72–89, 1986.

    Article  Google Scholar 

  • 12. Kasinski, A., Skrzypczynski, P., Cooperative Perception and World-Model Maintenance in Mobile Navigation Tasks. DARS III, pp173–182, 1998

    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

Kolushev, F.A., Bogdanov, A.A. (2000). Multi-agent Optimal Path Planning for Mobile Robots in Environment with Obstacles. In: Bjøner, D., Broy, M., Zamulin, A.V. (eds) Perspectives of System Informatics. PSI 1999. Lecture Notes in Computer Science, vol 1755. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46562-6_45

Download citation

  • DOI: https://doi.org/10.1007/3-540-46562-6_45

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67102-2

  • Online ISBN: 978-3-540-46562-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics