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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Wang, Y., Silva, C.: sequential q-learning with Kalman filtering for multirobot cooperative transportation. IEEE/ASME Trans. Mechatron. 15(2), 261–268 (2010)
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)
Tang, Z., Ozguner, U.: Motion planning for multi-target surveillance with mobile sensor agents. IEEE Trans. Robot. 21(5), 898–908 (2005)
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)
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)
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)
Garrido, S., Moreno, L., Lima, P.U.: Robot formation motion planning using Fast Marching. Rob. Auton. Syst. 59, 675–683 (2011)
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)
Azariadis, P.N., Aspragathos, N.A.: Obstacle representation by Bump-surfaces for optimal motion-planning. Robot. Auton. Syst. 51(2–3), 129–150 (2005)
Xidias, E.K., Azariadis, P.N.: Mission design for a group of autonomous guided vehicles. Robot. Auton. Syst. 59(1), 34–43 (2011)
Preparata, F.P., Shamos, M.I.: Computational Geometry. Springer, New York (1985)
Piegl, L., Tiller, W.: The NURBS Book. Springer, Berlin, Heidelberg (1997)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights 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)