Review of Collective Decision Making in Swarm Robotics

Authors

  • Rusul Ibrahim College of Computer Science and Information Technology, University of Kerbala, Kerbala
  • Muhanad Alkilabi Department of Medical Instruments Techniques Engineering, AlSafwa University College, Iraq
  • Ali Retha Hasoon Khayeat College of Computer Science and Information Technology, University of Kerbala, Kerbala
  • Elio Tuci Department of Computer Science, University of Namur, Namur 5000, Belgium

DOI:

https://doi.org/10.29304/jqcsm.2024.16.11519

Keywords:

Swarm Robotics, Collective Decision Making, Evolutionary Robotics, Automatic Modular Design

Abstract

Swarm robotics is a distinctive type of multi-robotic system that relies on local communication among the swarm members to generate a desired global behaviour. This implies a lack of global information, requiring robots to sense and communicate using sensors and actuators located on their bodies. Consequently, the robots within the swarm must leverage collective intelligence to solve the problem at hand, as no individual robot can accomplish the task independently. This article provides an overview of swarm robotics in general, highlighting its characteristics that distinguish it from other multi-robotic systems and simultaneously serve as motivation to adopt a swarm robotics approach. A closer examination of collective decision making within swarm robotics and its design problem also provided, classifying design methods into manual design and automatic approaches. The most commonly used automatic approaches to design collective decision making in swarm robotics are explained, along with a mention of the benefits and drawbacks of such approaches. However, this review does not cover aspects such as the swarm collective behaviours – except collective decision making – and the swarm robotics tasks

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Published

2024-03-30

How to Cite

Ibrahim, R., Alkilabi, M., Hasoon Khayeat, A. R., & Tuci, E. (2024). Review of Collective Decision Making in Swarm Robotics. Journal of Al-Qadisiyah for Computer Science and Mathematics, 16(1), Comp. 72–80. https://doi.org/10.29304/jqcsm.2024.16.11519

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Section

Computer Articles