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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

Sheffield Hallam University

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Output 38 of 110 in the submission
Article title

Emerging robot swarm traffic

Type
D - Journal article
Title of journal
International Journal of Intelligent Computing and Cybernetics
Article number
-
Volume number
5
Issue number
3
First page of article
312
ISSN of journal
1756-378X
Year of publication
2012
Number of additional authors
1
Additional information

The paper is concerned with the traffic patterns generated by robot swarms commuting to and from the Base station. Using an artificial force field potential constrained by limited robot sensors, the article focuses on modelling and analysing emergent traffic characteristics. A bottom-up approach is used in which group behaviour patterns are related to individual agent designs. Target behaviours are human-driven motorised traffic, which is rigidly structured in two opposing lanes, and the three-lane arrangements adopted by army ants. To this end, robots are imbued with army ant characteristics to investigate the requirements for three lane traffic patterns.

Interdisciplinary
Yes
Cross-referral requested
11 - Computer Science and Informatics
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-