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Visual-Aided Guidance for the Maintenance of Multirobot Formations

Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 83)

Abstract

Among other multirobot formation topics, one of the most important is the maintenance of the initial formation while the robots are moving through the environment. This paper presents a new approach based on the cooperation among a team of heterogeneous robots for the maintenance of multirobot formations. In this case, one of the robots, the conductor, drives the formation and the rest of robots must follow it maintaining the formation. To do that, the use of “virtual points” and Bezier curves are introduced. Moreover, in order to solve the odometry problem of the robots, visual information is introduced, which allows one robot, the leader, to monitor the positions of the “blind” robots and help them to maintain the formation. In this way, a new method based on visual-aided guidance for the maintenance of formations have been developed. The results prove that this new approach is suitable for the maintenance of formations of multiple robots.

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References

  1. 1.
    Balch, T., Arkin, R.: Behaviour-based formation control for multiagent robot teams. IEEE Transactions on Robotics and Automation 14(6), 926–993 (1998)CrossRefGoogle Scholar
  2. 2.
    Chiem, S., Cervera, E.: Vision-based robot formations with bezier trajectories. In: Proceedings of the 8th Conference on Intelligent Autonomous System (2004)Google Scholar
  3. 3.
    Das, K., Fierro, R., Kumar, V., Ostrowski, J.P., Spletzer, J., Taylor, C.: A vision-based formation control framework. IEEE Transactions on Robotics and Automation 18(5), 813–825 (2002)CrossRefGoogle Scholar
  4. 4.
    Desai, J., Ostrowski, J., Kumar, V.: Modelling and control of formations of nonholonomic mobile robots. IEEE Transactions on Robotics and Automation 17(6), 905–908 (2001)CrossRefGoogle Scholar
  5. 5.
    Dudek, G., Jenkin, M., Milios, E.: A taxonomy of multirobot systems. In: Robot Teams: From Diversity to Polymorphism, pp. 3–22. AK Peters (2002)Google Scholar
  6. 6.
    Fredslund, J., Mataric, M.: A general, local algorithm for robot formations. IEEE Transactions on Robotics and Automation (Special Issue on Advances in Multi-Robot Systems) 18(5), 837–846 (2002)Google Scholar
  7. 7.
    Li, S., Boskovic, J., Mehra, R.: Globally stable automatic formation flight control in two dimensions. In: Proceedings of the AIAA Guidance, Navigation and Control Conference (2001)Google Scholar
  8. 8.
    Liu, S., Tan, D., Liu, G.: Distributed formation control of robots with directive visual measurement. In: Proceedings of the IEEE International Conference on Mechatronics & Automation, pp. 1760–1765 (2005)Google Scholar
  9. 9.
    Nebot, P., Cervera, E.: A framework for the development of cooperative robotic applications. In: Proceedings of the 12th International Conference on Advanced Robotics, pp. 901–906 (2005)Google Scholar
  10. 10.
    Nebot, P., Cervera, E.: Self-localization of a team of mobile robots by means of common colored targets. In: Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2009), pp. 274–279 (2009)Google Scholar
  11. 11.
    Renaud, P., Cervera, E., Martinet, P.: Towards a reliable vision-based mobile robot formation control. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3176–3181 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Robotic Intelligence LaboratoryUniversitat Jaume ICastellón de la PlanaSpain

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