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Homogeneous Hierarchical Composition of Areas in Multi-robot Area Coverage

  • Sriram Raghavan
  • Ravindran B
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4612)

Abstract

Multi-robot area coverage poses several research challenges. The challenge of coordinating multiple robots’ actions coupled with the challenge of minimizing the overlap in coverage across robots becomes even more complex and critical when large teams and large areas are involved. In fact, the efficiency critically hinges on the coordination algorithms used and the robot capabilities.

Multi-robot coverage of such large areas can be tackled by the divide-andconquer policy; decomposing the coverage area into several small coverage grids. It is fairly simple to devise algorithms to minimize the overlap in small grids by making simple assumptions. If the overlap ratio of these small grids can be controlled, one may be able to integrate them appropriately to cover the large grid.

In this paper, we introduce homogeneous hierarchical composition grids to decompose a coverage area into several small coverage primitives with appropriately sized robot teams. These coverage grids are viewed as cells at a Meta level and composed hierarchically with such teams functioning as a single unit. We state and prove an associated theorem that provides very good scaling properties to large grids. We have performed simulated studies to validate the claims and study performance.

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References

  1. 1.
    Raghavan, S., Ravindran, B.: Profiling Pseudonet Architecture for Coordinating Mobile Robots. In: Second International Conference on Communication System Software and Middleware (COMSWARE), January 7-12, 2007, Bangalore, India (2007)Google Scholar
  2. 2.
    Solanas, A., Garcia, M.A.: Coordinated multi-robot exploration through unsupervised clustering of unknown spaces. In: IROS. Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 1, pp. 717–721 (2004)Google Scholar
  3. 3.
    Farinelli, A., Iocchi, L., Nardi, D.: Multirobot Systems: A Classification Focused on Coordination. IEEE Transactions on Systems, Man, Cybernetics-Part B 34(5) (2004)Google Scholar
  4. 4.
    Zlot, R., Stentz, A., Dias, M., Thayer, S.: Multi-Robot Exploration Controlled By A Market Economy. In: Proceedings of IEEE International Conference on Robotics and Automation (ICRA) (2002)Google Scholar
  5. 5.
    Dudek, G., Jenkin, M., Milios, E.E.: Robot Teams: From Diversity to polymorphism - A Taxonomy of Multirobot Systems. AK Peters, Wellesley MA (2002)Google Scholar
  6. 6.
    Koenig, S., Liu, Y.: Terrain Coverage with Ant Robots: A Simulation Study. In: AGENTS 2001. Proceedings of the International Conference on Autonomous Agents, pp. 600–607 (2001)Google Scholar
  7. 7.
    Choset, H.: Coverage for Robotics - A Survey of Recent Results. In: Annals of Mathematics and Artificial Intelligence, pp. 113–126. Kluwer, Norwell, MA (2001)Google Scholar
  8. 8.
    Butler, Z.J., Rizzi, A., Hollis, R.L.: Complete Distributed Coverage in Rectilinear Environments. In: Peters, A.K.(ed.) Proc. of the Workshop on the Algorithmic Foundations of Robotics (January 2001)Google Scholar
  9. 9.
    Rekleitis, I., Dudek, G., Milios, E.E.: Graph-based exploration using multiple robots. In: DARS. Proceedings of the Fifth International Symposium of Distributed Autonomous Robotic Systems, October 4-6, 2000, Knoxville, Tennessee, pp. 241–250 (2000)Google Scholar
  10. 10.
    Kube, C.R., Bonabeau, E.: Cooperative Transport by ants and robots. Journal of Robotics and Autonomous Systems 30(1), 85–101 (2000)CrossRefGoogle Scholar
  11. 11.
    Simmons, R., Burgard, W., Moors, M., Fox, D., Thrun, S.: Collaborative Multi-Robot Exploration. In: ICRA. Proceedings of the IEEE International Conference on Robotics and Automation, San Francisco, CA (2000)Google Scholar
  12. 12.
    Stoller, S.D.: Leader Election in Asynchronous Distributed Systems. Proceedings of IEEE Transactions on Computers 49(3), 283–284 (2000)CrossRefGoogle Scholar
  13. 13.
    Cao, Y.U., Fukanga, A., Kahng, A.: Cooperative Mobile Robotics: Antecedents and Directions. Autonomous Robotics 4, 1–23 (1997)Google Scholar
  14. 14.
    Rekleitis, I.M., Dudek, G., Milios E.E.: Multi-robot exploration of an unknown environment: Efficiently Reducing the Odometry Error. In: IJCAI 1997. Proceedings of 15th International Joint Conference on Artificial Intelligence, pp. 1340–1345, Nagoya, Japan (August 1997) Google Scholar
  15. 15.
    Francis, P., Saxena, S.: Optimal Distributed Leader Election Algorithm for Synchronous Complete Network. IEEE Transactions on Parallel and Distributed Systems 7(3) (1996)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Sriram Raghavan
    • 1
  • Ravindran B
    • 2
  1. 1.IntelIndia
  2. 2.Department of Computer Science & Engineering, IIT Madras 

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