Comparison of different cue-based swarm aggregation strategies

Arvin, Farshad and Emre Turgut, Ali and Bellotto, Nicola and Yue, Shigang (2014) Comparison of different cue-based swarm aggregation strategies. In: International Conference in Swarm Intelligence, 17-20 October 2014, Hefei, China.

Documents
ICSI-HeFei 2014.pdf
[img]
[Download]
[img]
Preview
PDF
ICSI-HeFei 2014.pdf - Whole Document
Available under License Creative Commons Attribution.

1MB
Item Type:Conference or Workshop contribution (Presentation)
Item Status:Live Archive

Abstract

In this paper, we compare different aggregation strategies for cue-based aggregation with a mobile robot swarm. We used a sound source as the cue in the environment and performed real robot and simulation based experiments. We compared the performance of two proposed aggregation algorithms we called as the vector averaging and naïve with the state-of-the-art cue-based aggregation strategy BEECLUST. We showed that the proposed strategies outperform BEECLUST method. We also illustrated the feasibility of the method in the presence of noise. The results showed that the vector averaging algorithm is more robust to noise when compared to the naïve method.

Additional Information:Proceedings, Part I, series volume 8794
Keywords:swarm robotics, collective behavior, cue-based aggregation
Subjects:H Engineering > H671 Robotics
Divisions:College of Science > School of Computer Science
ID Code:14927
Deposited On:14 Sep 2014 19:28

Repository Staff Only: item control page