Skip to main content

Investigation of Optimal Deployment Problem in Three-Dimensional Space Coverage for Swarm Robotic System

  • Conference paper
Social Robotics (ICSR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7621))

Included in the following conference series:

Abstract

Multi-robot systems such as swarm robotics have demonstrated collective and social behaviors in terms of environment sensing, coverage planning, decision making, and task execution. This article addresses one of the key challenges in 3D space coverage planning by multi-robots in large working spaces while avoiding critical non-trespassing zones. We investigated a mathematical approach for the optimal robot deployment problem, aiming to cover arbitrary 3D space using a minimal number of robots, provided a global map of the work-space. The proposed method is valuable in terms of optimal resource allocation while further incorporating with the emerging power of cloud computing and is a step towards optimal coordination of multiple robots for various applications.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Beni, G.: From Swarm Intelligence to Swarm Robotics. In: Şahin, E., Spears, W.M. (eds.) Swarm Robotics 2004. LNCS, vol. 3342, pp. 1–9. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  2. Dorigo, M., Sahin, E.: Swarm robotics. Auton. Robots 17(2-3), 111–113 (2004)

    Article  Google Scholar 

  3. Ren, H., Meng, M.Q.-H.: Power adaptive localization algorithm for wireless sensor networks using particle filter. IEEE Transactions on Vehicular Technology 58(5), 2498–2508 (2009)

    Article  Google Scholar 

  4. Dorigo, M., Tuci, E., Groß, R., Trianni, V., Labella, T.H., Nouyan, S., Ampatzis, C., Deneubourg, J.-L., Baldassarre, G., Nolfi, S., Mondada, F., Floreano, D., Gambardella, L.M.: The SWARM-BOTS Project. In: Şahin, E., Spears, W.M. (eds.) Swarm Robotics 2004. LNCS, vol. 3342, pp. 31–44. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  5. Şahin, E.: Swarm Robotics: From Sources of Inspiration to Domains of Application. In: Şahin, E., Spears, W.M. (eds.) Swarm Robotics 2004. LNCS, vol. 3342, pp. 10–20. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  6. Ren, H., Meng, M.Q.-H.: Game-theoretic modeling of joint topology control and power scheduling for wireless heterogeneous sensor networks. IEEE Transactions on Automation Science and Engineering 6(4), 610–625 (2009)

    Article  Google Scholar 

  7. Chen, Y., Du, Z., Garcia-Acosta, M.: Robot as a service in cloud computing. In: 2010 Fifth IEEE International Symposium on Service Oriented System Engineering (SOSE), pp. 151–158. IEEE (2010)

    Google Scholar 

  8. Zhou, G., Zhang, Y., Bastani, F., Yen, I.: Service-oriented robotic swarm systems: Model and structuring algorithms. In: 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC), pp. 95–102. IEEE (2012)

    Google Scholar 

  9. Fogel, M., Burkhart, N., Ren, H., Schiff, J., Meng, M.Q.-H., Goldberg, K.: Automated tracking of pallets in warehouses: Beacon layout and asymmetric ultrasound observation models. In: IEEE International Conference on Automation Science and Engineering, pp. 678–685 (September 2007)

    Google Scholar 

  10. Bogue, R.: Swarm intelligence and robotics. Industrial Robot: An International Journal 35(6), 488–495 (2008)

    Article  Google Scholar 

  11. McLurkin, J., Smith, J., Frankel, J., Sotkowitz, D., Blau, D., Schmidt, B.: Speaking swarmish: Human-robot interface design for large swarms of autonomous mobile robots. In: Proc. of the AAAI Spring Symposium (2006)

    Google Scholar 

  12. McLurkin, J., Yamins, D.: Dynamic task assignment in robot swarms. In: Proceedings of Robotics: Science and Systems, pp. 2007–214838 (2005)

    Google Scholar 

  13. Mondada, F., Guignard, A., Bonani, M., Bar, D., Lauria, M., Floreano, D.: Swarm-bot: From concept to implementation. In: Proceedings of 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003), vol. 2, pp. 1626–1631. IEEE (2003)

    Google Scholar 

  14. Mondada, F., Gambardella, L., Floreano, D., Nolfi, S., Deneuborg, J., Dorigo, M.: The cooperation of swarm-bots: Physical interactions in collective robotics. IEEE Robotics & Automation Magazine 12(2), 21–28 (2005)

    Article  Google Scholar 

  15. Groß, R., Bonani, M., Mondada, F., Dorigo, M.: Autonomous self-assembly in swarm-bots. IEEE Transactions on Robotics 22(6), 1115–1130 (2006)

    Article  Google Scholar 

  16. Batalin, M., Sukhatme, G.: Coverage, exploration and deployment by a mobile robot and communication network. Telecommunication Systems 26(2), 181–196 (2004)

    Article  Google Scholar 

  17. Hutchinson, S., Bretl, T.: Robust optimal deployment of mobile sensor networks. In: 2012 IEEE International Conference on Robotics and Automation (ICRA), pp. 671–676. IEEE (2012)

    Google Scholar 

  18. Ren, H., Meng, M.Q.-H., Chen, X.: Physiological information acquisition through wireless biomedical sensor networks. In: IEEE International Conference on Information Acquisition, pp. 483–488 (July 2005)

    Google Scholar 

  19. Brambilla, M., Ferrante, E., Birattari, M., Dorigo, M.: Swarm robotics: A review from the swarm engineering perspective (2012)

    Google Scholar 

  20. Schwager, M., Julian, B., Rus, D.: Optimal coverage for multiple hovering robots with downward facing cameras. In: IEEE International Conference on Robotics and Automation, ICRA 2009, pp. 3515–3522. IEEE (2009)

    Google Scholar 

  21. Pimenta, L.C.A., Schwager, M., Lindsey, Q., Kumar, V., Rus, D., Mesquita, R.C., Pereira, G.A.S.: Simultaneous Coverage and Tracking (SCAT) of Moving Targets with Robot Networks. In: Chirikjian, G.S., Choset, H., Morales, M., Murphey, T. (eds.) Algorithmic Foundation of Robotics VIII. STAR, vol. 57, pp. 85–99. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  22. Chang, C., Chang, C., Chen, Y., Chang, H.: Obstacle-resistant deployment algorithms for wireless sensor networks. IEEE Transactions on Vehicular Technology 58(6), 2925–2941 (2009)

    Article  Google Scholar 

  23. Ababnah, A., Natarajan, B.: Optimal control-based strategy for sensor deployment. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 41(1), 97–104 (2011)

    Article  Google Scholar 

  24. Ren, H., Meng, M.Q.-H.: Understanding the mobility model of wireless body sensor networks. In: IEEE International Conference on Information Acquisition, pp. 306–310 (August 2006)

    Google Scholar 

  25. Nemhauser, G., Wolsey, L.: Integer and combinatorial optimization, vol. 18. Wiley, New York (1988)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ren, H., Tse, Z.T.H. (2012). Investigation of Optimal Deployment Problem in Three-Dimensional Space Coverage for Swarm Robotic System. In: Ge, S.S., Khatib, O., Cabibihan, JJ., Simmons, R., Williams, MA. (eds) Social Robotics. ICSR 2012. Lecture Notes in Computer Science(), vol 7621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34103-8_47

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34103-8_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34102-1

  • Online ISBN: 978-3-642-34103-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics