Cover
Vol. 15 No. 2 (2019)

Published: December 31, 2019

Pages: 21-32

Original Article

RP Lidar Sensor for Multi-Robot Localization using Leader Follower Algorithm

Abstract

In this paper, a new technique for multi-robot localization in an unknown environment, called the leader-follower localization algorithm is presented. The framework utilized here is one robot that goes about as a leader and different robots are considered as followers distributed randomly in the environment. Every robot equipped with RP lidar sensors to scan the environment and gather information about every robot. This information utilized by the leader to distinguish and confine every robot in the environment. The issue of not noticeable robots is solved by contrasting their distances with the leader. Moreover, the equivalent distance robot issue is unraveled by utilizing the permutation algorithm. Several simulation scenarios with different positions and orientations are implemented on (3- 7) robots to show the performance of the introduced technique.

References

  1. J. Cepeda, L. Chaimowicz, et al. " A Behavior-Based Strategy for Single and MultiRobot Autonomous Exploration " Sensors , Vol. 12, No. 9, PP. 12772–12797, 2012.
  2. Y. Cao, M.Li, I. Svogor, S. Wei, G. Bel " Dynamic Range-Only Localization For Multi Robot system " IEEE Access , Vol. 6, PP. 4653646536, 2018.
  3. I. Jawhar, N. Mohamed, J. Wu, and J. AlJaroodi "Networking of Multi-Robot Systems: Architectures and Requirements" Sensor Actuator Networks journal , Vol. 7 No. 52, PP. 1-16, 2018.
  4. B. Issa, Abdulmuttalib T. Rashid "A survey of Multi-Mobile Robots Formation Control", Vol. 181, No. 48, PP. 12-16, 2019.
  5. Abdulmuttalib T. Rashid, W. Zayer, M. 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, PP. 10-21, 2018.
  6. O. A. Hasan, R. S. Ali, Abdulmuttalib T. Rashid, “Centralized approach for multi-node localization and identification”, Iraq J. Electrical and Electronic Engineering, vol.12, No 2, pp. 178- 187, 2016.
  7. O. A. Hasan, Abdulmuttalib T. Rashid, R. Ali, J. Kosha "A Practical Performance Analysis of Low-Cost Sensors for Indoor Localization of Multi-Node System, ", International Conference on Internet Technologies & Applications, 2017.
  8. A. Howard, M. Matari, G. Sukhatme "Cooperative Relative Localization For Mobile Robot Teams: An Ego Centric Approach", in Proceedings of the Naval Research Laboratory Workshop on Multi-Robot Systems, U.S.A, 2003.
  9. Mas, C. Kitts "Centralized and decentralized multi-robot control methods using the cluster space control framework ", 2010 Conference on Advanced Intelligent Mechatronics, 2010.
  10. Abdulmuttalib T. Rashid, M. Frasca, A. Ali, A. Rizzo, L. Fortuna "Multi-robot localization and orientation estimation using robotic cluster matching algorithm" Robotics and Autonomous Systems, No.63, PP.108–121, 2015
  11. R. Simmons, D. Apfelbaum, W. Burgard1, D. Fox, M. Moors2, S. Thrun, H. Younes " Coordination for Multi-Robot Exploration and Mapping" American Association for Artificial
  12. Z. Yan, N. Jouandeau, A. Cherif "A Survey and Analysis of Multi-Robot Coordination" Systems , Vol. 10, No.399, 2013.
  13. O. A. Hasan, Abdulmuttalib T. Rashid, R. S. Ali " Hybrid approach for multi-node localization and Identification " Basrah Journal of Engineering Sciences, Vol. 16, No. 2, PP. 1220, 2016
  14. A. Marjovi, J. Gonc¸ A. Nunes, L. Marques , A. Almeida" Multi-Robot Fire Searching in Unknown Environment " the Institute for Systems and Robotics, Conference Paper, DOI: 10.1007/978-3-642-13408-1_31. · January 2009.
  15. M. Andries, F. Charpillet "Multi-robot taboo-list exploration of unknown structured environments" Conference on Intelligent. 2015.
  16. Y. Zhang "Localization And 2D Mapping using Low Cost Lidar" Master of of science in technology University of Turku 67b.31 app. December.2018.
  17. M. Korkmaz, A. Dude, Y. Tusun "Sensor Comparison for a Real-Time SLAM Application" Journal of and Electronics Engineering , Vol. 8, No. 1, March 2018.
  18. J. Ji Zhang and S. Singh "LOAM: Lidar Odometry and Mapping in Real-time" Robotics: Science and Systems Conference, July, 2014
  19. M. A. Markom, A. H. Adam, E. S. Tan, S. Shakar, N. Rahim, A. Shakaff "Mobile Robots Mapping Using RP Lidar Scanner" IEEE Symposium on Robotics and