Skip to main content

Multi-Agent Systems Platform for Mobile Robots Collision Avoidance

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7879))

Abstract

This paper presents a multi-agent platform to simulate a new methodical approach to the problem of collision avoidance of mobile robots, taking advantages of multi-agents systems to deliver solutions that benefit the whole system. The proposed method has the next phases: collision detection, obstacle identification, negotiation and collision avoidance. In addition of simulations with virtual robots, in order to validate the proposed algorithm, an implementation with real mobile robots has been developed.

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   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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. Bernabeu, E.J.: Fast generation of multiple collision-free and linear trajectories in dynamic environments. IEEE Trans. Robotics 25(4), 967–975 (2009)

    Article  Google Scholar 

  2. Bernabeu, E.J., Tornero, J., Tomizuka, M.: Collision prediction and avoidance amidst moving objects for trajectory planning applications. In: Proceedings of the IEEE Int. Conf. Robot. Automat., pp. 3801–3806 (2001)

    Google Scholar 

  3. Bruce, K.B., Cardelli, L., Pierce, B.C.: Comparing Object Encodings. In: Ito, T., Abadi, M. (eds.) TACS 1997. LNCS, vol. 1281, pp. 415–438. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  4. Cameron, S., Culley, R.K.: Determining the minimum translational distance between two convex polyhedra. In: Proceeding of the IEEE Int. Conf. Robot. Automat., pp. 591–596 (1986)

    Google Scholar 

  5. Choi, Y.-K., Wang, W., Liu, Y., Kim, M.-S.: Continuous collision detection for two moving elliptic disks. IEEE Trans. Robotics 22(2), 213–224 (2006)

    Article  Google Scholar 

  6. Java Agent Development Framework, http://jade.tilab.com

  7. LEGO Mindstorms home page, http://mindstorms.lego.com

  8. LeJOS: Java for LEGO Mindstorms, http://lejos.sourceforge.net

  9. Russell, S., Norvig, P.: Artificial Intelligence: A modern approach (2003)

    Google Scholar 

  10. Schwarzer, F., Saha, M., Latombe, J.-C.: Adaptive dynamic collision checking for single and multiple articulated robots in complex environments. IEEE Trans. Robotics (2005)

    Google Scholar 

  11. SHARP Optoelectonic device GP2y0A21YK, www.sharpsma.com/webfm_send/1208

  12. Tang, M., Kim, Y.J., Manocha, D.: C2A: Controlled conservative advancement for continuous collision detection of polygonal models. In: Proceedings of the IEEE Int. Conf. Robot. Automat., pp. 849–854 (2009)

    Google Scholar 

  13. Urmson, C., Anhalt, J., Bagnell, D., Baker, C.: Autonomous driving in urban environments: Boss and the urban challenge. Journal of Field Rob. 25(8), 425–466 (2008)

    Article  Google Scholar 

  14. Van Leeuwen, J. (ed.): Computer Science Today. Recent Trends and Developments. LNCS, vol. 1000. Springer, Heidelberg (1995)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Soriano, A., Bernabeu, E.J., Valera, A., Vallés, M. (2013). Multi-Agent Systems Platform for Mobile Robots Collision Avoidance. In: Demazeau, Y., Ishida, T., Corchado, J.M., Bajo, J. (eds) Advances on Practical Applications of Agents and Multi-Agent Systems. PAAMS 2013. Lecture Notes in Computer Science(), vol 7879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38073-0_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38073-0_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38072-3

  • Online ISBN: 978-3-642-38073-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics