
A Study on Various Task-Work Allocation Algorithms in Swarm Robotics
Author(s) -
L Annamalai,
Mohammed Siddiq. M,
Ravi Shankar. S,
S Vigneshwar
Publication year - 2020
Publication title -
journal of information technology and digital world
Language(s) - English
Resource type - Journals
ISSN - 2582-418X
DOI - 10.36548/jitdw.2020.2.006
Subject(s) - swarm robotics , swarm behaviour , robotics , artificial intelligence , task (project management) , computer science , swarm intelligence , robot , machine learning , human–computer interaction , engineering , particle swarm optimization , systems engineering
This paper discusses the various task allocation algorithms that have been researched, analyzed, and used in swarm robotics. The main reason for switching over to swarm robotics from ordinary mobile robots is because of its ability to perform complex tasks co-operatively with other bots rather than individually. Furthermore, they can be scaled to perform any kind of tasks. To carry out tasks like foraging, surveying and other such tasks that require swarm intelligence, task allocation plays an important role. It is the crux of the entire system and plays a huge role in the success of the implementation of swarm robotics. Few algorithms that address this task allocation have been briefly discussed here.