Skip to main content

A Voronoi-Based Reactive Approach for Mobile Robot Navigation

  • Conference paper
Advances in Computer Science and Engineering (CSICC 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 6))

Included in the following conference series:

Abstract

Robot navigation is a challenging problem in robotics, which involves determining of robot positioning relative to objects in the environment, and also the mobility of robot through obstacles without colliding into them. The former is known as localization, while the latter is called motion planning. This paper introduces a roadmap method for solving motion planning problem in a dynamic environment based on Generalized Voronoi Diagram (GVD). The efficiency of the proceeding work is verified by examining it in a sample home 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 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. Choset, H., Konukseven, I., Burdick, J.: Mobile robot navigation: Issues in implementation the generalized voronoi graph in the plane. In: Proceedings of the 1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 241–248 (1996)

    Google Scholar 

  2. Kavraki, L.E., Latombe, J.C.: Randomized preprocessing of configuration space for fast path planning. In: ICRA, pp. 2138–2145 (1994)

    Google Scholar 

  3. Overmars, M.H., Švestka, P.: A probabilistic learning approach to motion planning. In: WAFR: Proceedings of the workshop on Algorithmic foundations of robotics, Natick, MA, USA, pp. 19–37. A. K. Peters, Ltd. (1995)

    Google Scholar 

  4. Nieuwenhuisen, D., Kamphuis, A., Overmars, M.M.M.H.: Automatic construction of high quality roadmaps for path planning. Technical Report UU-CS-2004-068, Institute of Information and Computing Sciences, Utrecht University (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mohammadi, S., Hazar, N. (2008). A Voronoi-Based Reactive Approach for Mobile Robot Navigation. In: Sarbazi-Azad, H., Parhami, B., Miremadi, SG., Hessabi, S. (eds) Advances in Computer Science and Engineering. CSICC 2008. Communications in Computer and Information Science, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89985-3_129

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-89985-3_129

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89984-6

  • Online ISBN: 978-3-540-89985-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics