Title
Autonomous identification of local agents in multi-agent robotic swarms
Abstract
With the emergence of swarm intelligence and evolutionary algorithms, system designers are creating robotic swarms of continuously increasing sizes. As the size of a swarm increases, it is imperative to have a uniform program collectively downloaded on all the agents in it. These uniform programs impede the designer's ability to designate distinct identities for various agents in the swarm. In this work we propose an algorithm that, when implemented in a robotic swarm, allows the locally interacting agents to autonomously designate unique identifications to each other at run time. The results show that when used on a small swarm of autonomous robots, running the algorithm led to a steady state where every agent in a local neighborhood was assigned a unique identification value.
Year
DOI
Venue
2016
10.1109/EIT.2016.7535233
2016 IEEE International Conference on Electro Information Technology (EIT)
Keywords
Field
DocType
autonomous identification,multiagent robotic swarms,autonomous robots,locally interacting agents,evolutionary algorithms,swarm intelligence
Swarm behaviour,Evolutionary algorithm,Computer science,Swarm intelligence,Artificial intelligence,Robot,Swarm robotics
Conference
ISSN
ISBN
Citations 
2154-0357
978-1-4673-9986-9
0
PageRank 
References 
Authors
0.34
3
3
Name
Order
Citations
PageRank
Aaron Roggow100.34
Georges El-howayek2162.29
Sami Khorbotly383.73