Skip to main content

Path Planning for Formation Control of Autonomous Vehicles

  • Conference paper
  • First Online:
Advances in Robot Design and Intelligent Control (RAAD 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 540))

Included in the following conference series:

Abstract

In this paper a two-stage approach is introduced for optimum path planning of a team of autonomous vehicles in an environment cluttered with obstacles. The vehicles are requested to move in formation from an initial point to a final point. The Bump-Surface concept is used for the representation of the environment while the formation of the vehicles is presented by a deformable Delaunay triangulation. The proposed approach is presented in detail and test cases with multiple vehicles are simulated to demonstrate the efficiency of the method.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

References

  1. Wang, Y., Silva, C.: sequential q-learning with Kalman filtering for multirobot cooperative transportation. IEEE/ASME Trans. Mechatron. 15(2), 261–268 (2010)

    Article  Google Scholar 

  2. Chen, H., Sun, D., Yang, J., Chen, J.: SLAM based global localization for multi-robot formations in indoor environment. IEEE/ASME Trans. Mechatron. 15(4), 561–574 (2010)

    Article  Google Scholar 

  3. Tang, Z., Ozguner, U.: Motion planning for multi-target surveillance with mobile sensor agents. IEEE Trans. Robot. 21(5), 898–908 (2005)

    Article  Google Scholar 

  4. Saska, M., Chudoba, J., Precil, L., Thomas, J., Loianno, G., Tresnak, A., Vonasek, V., Kumar, V.: Autonomous deployment of swarms of micro-aerial vehicles in cooperative surveillance. In: 2014 International Conference on Unmanned Aircraft System, ICUAS 2014 - Conference Proceeding, pp. 584–595 (2014)

    Google Scholar 

  5. Han, J., Chen, Y.: Multiple UAV formations for cooperative source seeking and contour mapping of a radiative signal field. J. Intell. Robot. Syst. Theor. Appl. 74, 323–332 (2014)

    Article  Google Scholar 

  6. Liu, S., Sun, D., Zhu, C.: A dynamic priority based path planning for cooperation of multiple mobile robots in formation forming. Robot. Comput. Integr. Manuf. 30(6), 589–596 (2014)

    Article  Google Scholar 

  7. Garrido, S., Moreno, L., Lima, P.U.: Robot formation motion planning using Fast Marching. Rob. Auton. Syst. 59, 675–683 (2011)

    Article  Google Scholar 

  8. Belta, C., Kumar, V.: Motion generation for formations of robots: a geometric approach. In: Proceedings of IEEE International Conference on Robotics and Automation, ICRA 2011, (Cat. No. 01CH37164), vol. 2 (2001)

    Google Scholar 

  9. Azariadis, P.N., Aspragathos, N.A.: Obstacle representation by Bump-surfaces for optimal motion-planning. Robot. Auton. Syst. 51(2–3), 129–150 (2005)

    Article  Google Scholar 

  10. Xidias, E.K., Azariadis, P.N.: Mission design for a group of autonomous guided vehicles. Robot. Auton. Syst. 59(1), 34–43 (2011)

    Article  Google Scholar 

  11. Preparata, F.P., Shamos, M.I.: Computational Geometry. Springer, New York (1985)

    Book  MATH  Google Scholar 

  12. Piegl, L., Tiller, W.: The NURBS Book. Springer, Berlin, Heidelberg (1997)

    Book  MATH  Google Scholar 

  13. Chen, J.H., Ho, S.Y.: A novel approach to production planning of flexible manufacturing systems using an efficient multi-objective genetic algorithm. Int. J. Mach. Tools Manufact. 45, 949–957 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elias Xidias .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Xidias, E., Paliotta, C., Aspragathos, N., Pettersen, K. (2017). Path Planning for Formation Control of Autonomous Vehicles. In: Rodić, A., Borangiu, T. (eds) Advances in Robot Design and Intelligent Control. RAAD 2016. Advances in Intelligent Systems and Computing, vol 540. Springer, Cham. https://doi.org/10.1007/978-3-319-49058-8_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-49058-8_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49057-1

  • Online ISBN: 978-3-319-49058-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics