Implementation consensus algorithm and leader-follower of multi-robot system formation

Authors

  • Noval Lilansa Department of Manufacturing Automation and Mechatronics Engineering, Politeknik Manufaktur Bandung
  • Muhammad Nursyam Rizal Department of Manufacturing Automation and Mechatronics Engineering, Politeknik Manufaktur Bandung
  • Pipit Anggraeni Department of Manufacturing Automation and Mechatronics Engineering, Politeknik Manufaktur Bandung
  • Nur Jamiludin Ramadhan Department of Manufacturing Automation and Mechatronics Engineering, Politeknik Manufaktur Bandung

DOI:

https://doi.org/10.22441/sinergi.2023.1.006

Keywords:

Autonomous mobile robot, Consensus, Leader-follower, ROS,

Abstract

Robot technology has recently been applied to many applications to help human activities. Mobile Robot is one of the most flexible robot technology. This research uses a mobile robot designed using an omnidirectional wheel for the movement mechanism. Coordination and control of multi-robots can be assigned to perform any task from a different kind of field. Therefore, this paper aims to develop a multi-robot system to form a formation to do the task. The multi-robot system consists of three units Mobile Robot. The formation system will be built based on a coordinate point determined by a consensus point. The leader-follower topology is used to determine the orientation of the robot. ROS (Robot Operating System) is used as middleware to create a multi-robot system. The Open Base package in Gazebo Simulator is also used to simulate the movement of the multi-robot. From three test scenarios, this research results show that all the robots can do and follow the tasks simulated in the Gazebo with an average accuracy of 88.14%. Furthermore, no feedback from the robot to the Gazebo Simulator affects the robot's accuracy average below 90%. 

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Published

2023-01-13

How to Cite

[1]
N. Lilansa, M. N. Rizal, P. Anggraeni, and N. J. Ramadhan, “Implementation consensus algorithm and leader-follower of multi-robot system formation”, Sinergi, vol. 27, no. 1, pp. 45–56, Jan. 2023.

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