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Control and Coordination System Supported by Biologically Inspired Method for 3D Space “Proof of Concept”

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Advances in Robot Design and Intelligent Control

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 371))

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Abstract

This paper presents a control strategy for a swarm of mobile/flying robots operated in 3D space. The described biologically inspired method was developed to solve exploration or monitoring tasks. We discuss a possibility to extend an algorithm [1] to 3D space in this paper. The presented model is a decentralized adaptive system with shared memory representing the environment.

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References

  1. Zelenka, J., Kasanický, T.: Insect pheromone strategy for the robots coordination. In: Applied Mechanics and Materials, vol. 613, pp. 163–171. ISSN 1660-9336 (2013)

    Google Scholar 

  2. Senthilkumar, K.S., Bharadwaj, K.K.: Multi-robot exploration and terrain coverage in an unknown environment. Robot. Auton. Syst. 60(1), 123–132 (2012)

    Article  Google Scholar 

  3. Agmon, N., Hazon, N., Kaminka, G.A.: The giving tree: constructing trees for efficient offline and online multi-robot coverage. Annal. Math. Artif Intell, 52(2–4), 143–168, ISSN 1012-2443 (2008)

    Google Scholar 

  4. Sauter, JA., Matthews, R., Van, D., Parunak, D., Brueckner, S.: Performance of digital pheromones for swarming vehicle control. In: Proceedings of the 4th International Joint Conference on Autonomous Agents And Multiagent Systems, ACM Press, pp. 903–910. ISBN:1-59593-093-0 (2005)

    Google Scholar 

  5. Choset, H.: Coverage for robotics—a survey of recent results. Ann. Math. Artif. Intell. 31, 113–126 (2001)

    Article  Google Scholar 

  6. Hert, S., Tiwari, S., Lumelsky, V.: A terrain-covering algorithm for an UAV. Auton Robot 3, 91–119 (1996)

    Article  Google Scholar 

  7. Atkar, P.N., Choset, H., Rizzi, A.A., Acar, E.U.: Exact cellular decomposition of closed orientable surfaces embedded in 3. In: Proceedings of the ICRA Robotics and Automation IEEE International Conference, vol. 1, pp. 699–704 (2001)

    Google Scholar 

  8. Atkar, P., Greenfield, A.L., Conner, D.C., Choset, H., Rizzi, A.: Uniform coverage of automotive surface patches. Int. J. Robot. Res. 24(11), 883–898 (2005)

    Google Scholar 

  9. Oksanen, T., Visala, A.: Coverage path planning algorithms for agricultural field machines. J Field Robot 26, 558–651 (2009)

    Article  Google Scholar 

  10. Cheng, P., Keller, J., Kumar, V.: Time-optimal UAV trajectory planning for 3d urban structure coverage. In: Intelligent Robots and Systems, IROS’08, pp. 2750–2757 (2008)

    Google Scholar 

  11. Xu, A., Virie, P., Rekleitis, I.: Optimal complete terrain coverage using an unmanned aerial vehicle. In: IEEE International Conference on Robotics and Automation (2011)

    Google Scholar 

  12. Barrientos, A., Colorado, J., Cerro, J., Martinez, A., Rossi, C., Sanz, D., Valente, J.: Aerial remote sensing in agriculture: a practical approach to area coverage and path planning for fleets of mini aerial robots. J Field Robot. 28(5), 667–689 (2011)

    Google Scholar 

  13. Xu, A., Viriyasuthee, C., Rekleitis, I.: Optimal complete terrain coverage using an Unmanned Aerial Vehicle. In: Robotics and Automation (ICRA), pp. 2513–2519 (2011)

    Google Scholar 

  14. Cristobal, M.J.: Autonomous exploration and mapping of unknown environments with teams of mobile robots: http://dspace.umh.es/bitstream/11000/1370/1/Miguel%20Julia%20-%20Autonomous%20Exploration%20and%20Mapping.pdf

  15. Zelinsky, A., Jarvis, R.A., Byrne, J. C., Yuta, S.: Planning paths of complete coverage of an unstructured environment by a mobile robot. In: Proceedings of International Conference on Advanced Robotics, pp. 533–538 (1993)

    Google Scholar 

  16. Carsten, J., Ferguson, D., Stentz, A.: 3D Field D*: improved path planning and replanning in three dimensions. In: Intelligent Robots and Systems, IROS’06, pp. 3381–3386 (2006)

    Google Scholar 

  17. Koenig, S., Szymanski, B., Liu, Y.: Efficient and inefficient ant coverage methods. Annal. Math. Artif. Intell. vol. 31, Issue 1–4, pp. 41–76, ISSN: 1012-2443. doi:10.1023/A:1016665115585 (2001)

  18. Masár, M., Budinská, I.: Robot coordination based on biologically inspired methods. In: Advanced Materials Research, vol. 664, pp. 891–896. ISSN 1022-6680 (2013)

    Google Scholar 

  19. Burgard, W., Moors, M., Stachniss, C., Schneider, F.E.: Coordinated multi-robot exploration. Robot IEEE Transac on, 21(3), 376–386 (2005)

    Google Scholar 

  20. Zelenka, J., Kasanický, T.: Insect pheromone strategy for the robots coordination—reaction on loss communication. In: 15th IEEE International Symposium on Computational Intelligence and Informatics, Budapest: IEEE, pp. 79–83. ISBN 978-1-4799-5338-7 (2014)

    Google Scholar 

  21. Margolus, N.: Physics and computation, MIT Ph.D. thesis. Reprinted as Tech. Rep. MIT/LCS/TR415, MIT Lab. for Computer Science, Cambridge MA (1987)

    Google Scholar 

  22. Lee, T.-S., Choi, J.-S., Lee, J.-H., Lee, B.-H.: 3-d terrain covering and map building algorithm for an UAV, In: Intelligent Robots and Systems, IROS’09, pp. 4420–4425 (2009)

    Google Scholar 

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Acknowledgment

This work has been partially supported by VEGA, the national scientific grant agency under the grant number 2/0194/13.

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Correspondence to Ján Zelenka .

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Zelenka, J., Kasanický, T. (2016). Control and Coordination System Supported by Biologically Inspired Method for 3D Space “Proof of Concept”. In: Borangiu, T. (eds) Advances in Robot Design and Intelligent Control. Advances in Intelligent Systems and Computing, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-319-21290-6_15

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  • DOI: https://doi.org/10.1007/978-3-319-21290-6_15

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  • Online ISBN: 978-3-319-21290-6

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