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Reseach Article

A Survey of Multi-mobile Robot Formation Control

by Bayadir A. Issa, Abdulmuttalib T. Rashid
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 48
Year of Publication: 2019
Authors: Bayadir A. Issa, Abdulmuttalib T. Rashid
10.5120/ijca2019918651

Bayadir A. Issa, Abdulmuttalib T. Rashid . A Survey of Multi-mobile Robot Formation Control. International Journal of Computer Applications. 181, 48 ( Apr 2019), 12-16. DOI=10.5120/ijca2019918651

@article{ 10.5120/ijca2019918651,
author = { Bayadir A. Issa, Abdulmuttalib T. Rashid },
title = { A Survey of Multi-mobile Robot Formation Control },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2019 },
volume = { 181 },
number = { 48 },
month = { Apr },
year = { 2019 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number48/30478-2019918651/ },
doi = { 10.5120/ijca2019918651 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:09:27.718009+05:30
%A Bayadir A. Issa
%A Abdulmuttalib T. Rashid
%T A Survey of Multi-mobile Robot Formation Control
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 48
%P 12-16
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper denotes a survey on formation control of multi-mobile robot systems which drawn significant attention for the last years. It is concentrated on the stability of multi mobile robots when they obtained the required formation. Also this paper discusses the approaches of formation control and applications of them in changing and remote environments. Two classifications for the formation control methods are surveyed in this paper: the formation control strategies and the formation control stability. The differences among the surveyed approaches are discussed and the results are summarized.

References
  1. A. Handayani, S. Nurmaini, N.Husni, and I.Yanithe "survey paper: formation control for swarm robots." Proceedings of the International Multi Conference of Engineers and Computer Scientists 2016 Vol I, IMECS 2016, March 16 - 18, 2016, Hong Kong.
  2. H. Garcia de Marina, J. Siemonsma, B. Jayawardhana, and Ming Cao "Multi robot-motion formation distributed control with sensor self-calibration", unmanned Aerial Systems Center, University of Groningen, the Netherlands. IEEE. 2018.
  3. T. Lochmatter, X. Raemy, and A. Martinoli, "Oder source localization with multi robot system" Swarm-Intelligent Systems Group, Vol. 112, pp. 123-136. 2019.
  4. P. Orgen, "split and join of vehicle formation doing obstacle avoidance", IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004
  5. A. T. Rashid, M. Frasca, A, A, Ali, A. Rizzo and L. Foruna,” Multi-robot localization and orientation estimation using robotic cluster matching algorithm. Robotics and Autonomous Systems, Vol. 63, p.p. 108–121, 2015.
  6. O. A. Hasan, A. T. Rashid, R. S. Ali and J. Kosha,” A Practical Performance Analysis of Low-Cost Sensors for Indoor Localization of Multi-Node Systems “, Internet Technologies and Applications (ITA), Wrexham UK, September 2017.
  7. O. A. Hasan, A. T. Rashid and R. S. Ali,” Centralized approach for multi-node localization and identification “, Iraq J. Electrical and Electronic Engineering, Vol.12 No. 2, pp. 178-187, 20 1 6.
  8. O. A. Hasan, A. T. Rashid and R. S. Ali,” A Hybrid approach for multi-node localization and Identification “, Basra Journal for Engineering Sciences, vol. 16, no. 2, pp. 11- 20, 2016.
  9. A. T. Rashid, W. H. Zayer and M. T. Rashid,” Design and Implementation of Locations Matching Algorithm for Multi-Object Recognition and Localization”, Iraqi Journal of Electrical and Electronic Engineering, Vol. 14, No. 1, p.p. 10-21, 2018.
  10. A. T. Rashid, A. A. Ali, M. Frasca and L. Fortuna, " Path planning with obstacle avoidance based on visibility binary tree algorithm," Robotics and Autonomous Systems, vol. 61, pp. 1440–1449, 2013.
  11. Z. Y. Ibrahim , A. T. Rashid, and A. F. Marhoon, " An algorithm for Path planning with polygon obstacles avoidance based on the virtual circle tangents", Iraq J. Electrical and Electronic Engineering, Vol. 12, No. 2, pp. 221-234 , 2016.
  12. Z. Y. Ibrahim , A. T. Rashid, and A. F. Marhoon, " Prediction-Based Path Planning with Obstacle Avoidance in Dynamic Target Environment ", Basra Journal for Engineering Sciences, Vol. 16, No. 2, pp. 48 – 60, 2017.
  13. D. Qian, S. Tong, J. Guo , and S. Lee "leader follower formation control of multi robot with uncertainties through sliding mode", June 2015 Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering 229(6), 2015.
  14. Z. Sun, "cooperative coordination and formation control for multi agent system", Springer International Publishing AG 2018, 2017.
  15. K. K. Oha, M.C. Park , and H.S. Ahnb,"A survey of multi agent formation control", Automatica, Vol. 53, pp. 424-440, 2015.
  16. T. Soleyman and F. Saghafi "Behavior-based acceleration commanded formation flight control", International Conference on Control, Automation and Systems 2010 IEEE, 17 December 2010.
  17. J.R.T. Lawton, R.W. Beard and B.J. Young "A decentralized approach to formation maneuvers", IEEE Transactions on Robotics and Automation, Vol. 19, No. 6 , Dec. 2003.
  18. T. Balch, R.C. Arkin "Behavior based formation control for multi robot team" IEEE Transactions on Robotics and Automation, Vol. 14, No. 6, Dec 1998.
  19. D. Xu, X. Zhang Z. Zhu, P. Yang "Behavior based formation of swarm robot", Mathematical Problems in Engineering, DOI: 10.1155/2014/205759, 2014.
  20. G. A. Kaminka and I. Frenke "Flexible teamwork in behavior –based robots", Proceedings, The Twentieth National Conference on Artificial Intelligence and the Seventeenth Innovative Applications of Artificial Intelligence Conference, July 9-13, 2005,
  21. J. Fredslund, and M. Matari´c "A general algorithm for robot formation using local sensing and minimal communication", IEEE Transactions on Robotics and Automation, Vol. 18, No. 5 , pp. 837-846, 2002.
  22. K. Sugihara and I. Suzuki, "distributed algorithm for formation of geometric patterns with many mobile robots", John Wiley & Sons, Inc.1996.
  23. L.Consolini, F. Morbidi, D. Prattichizzo, and M. Tosques, "A geometric characterization of leader –follower formation control."  Proceedings 2007 IEEE International Conference on Robotics and Automation. Roma, Italy, 2007.
  24. H. Wang, D. Guo, X. Liang, W.Chen, G. Hu and K. Leang " Adaptive Vision-Based Leader–Follower Formation Control of Mobile Robots", IEEE Transactions on Industrial Electronics, Vol. 64, No. 4, April 2017.
  25. S. Nouyan, and M. Dorigo "Path formation of robotic swarm", Swarm Intelligence, Vol.2, No. 1, pp. 1-23, 2008.
  26. L. Barnes, M.David Fields, and K. P. Valavanis "Unmanned ground vehicle swarm formation control using potential field" Mediterranean Conference on Control 2007.
  27. P. ogren, M. egrested, and X.Hu "A control lyapunov function approach to multi agent coordination ", Proceedings of the 40th IEEE Conference on Decision and Control, Cambridge. USA, 2002.
  28. M. Maghenem ,A. Castillo E. Nuño, A. Loría, and E. Panteley "consensus-based formation control of non-holonomic robots using a strict lyapupov function", IFAC-Papers On Line, Vol. 50, No. 1, pp. 2439-2444, 2017.
  29. A. Yang, W. Naeem,G. Irwin, and K. Li "Stability analysis and implementation of a decentralized formation control strategy for unmanned vehicles" IEEE Transactions on Control Systems Technology, Vol. 22 , No. 2 , March 2014.
  30. J.Barca, A.Sekercioglu, and A.Ford "Controlling formation of robots with graph theory", Intelligent Autonomous Systems 12, AISC 194, pp. 563–574. Springer-Verlag Berlin Heidelberg 2013.
  31. K. erdogan, M. korkmaz, A.durdu, N. ylmaz and S. topal "Formatting morphing of multi robots using graph theory", Proceedings of the World Congress on Engineering and Computer Science 2015 Vol I WCECS 2015, October 21-23, 2015, San Francisco, USA.
  32. J. C. Barca, A. Sekercioglu, and A. Ford" Controlling Formations of Robots with Graph Theory", Advances in Intelligent Systems and Computing, Vol. 194, pp. 563-574, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Formation control Multi robot Behavior based approach Leader follower approach Virtual structure approach