Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

A survey of swarm robotics system

dc.contributor.authorShi, Zhiguo
dc.contributor.authorTu, Jun
dc.contributor.authorZhang, Qiao
dc.contributor.authorLiu, Lei
dc.contributor.authorWei, Junming
dc.coverage.spatialShenzhen
dc.date.accessioned2015-12-13T22:56:17Z
dc.date.createdJune 17-20 2012
dc.date.issued2012
dc.date.updated2016-02-24T08:37:37Z
dc.description.abstractSwarm robotics system has been a particularly active topic of robotics in recent years due to the increasing deepening of research on robotics technology and application. This paper gives a survey of swarm robotics system research from such aspects as theoretical basis and physical research, simulation platform, distributed control information fusion and communications system. Some problems that need to be solved about swarm robotics system research in IOT (Internet of Things) environment are also raised, such as co-adaptation, distributed control and self-organization, resource scheduling management. Finally, the ant colony algorithm and particle swarm optimization are applied to the swarm robotics system.
dc.identifier.isbn9783642309755
dc.identifier.urihttp://hdl.handle.net/1885/82749
dc.publisherConference Organising Committee
dc.relation.ispartofseries3rd International Conference on Swarm Intelligence, ICSI 2012
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.subjectKeywords: Ant colony algorithms; Communications systems; Distributed control; Iot( internet of things); Resource-scheduling; Robotics technology; Swarm Intelligence; Swarm robotics; Algorithms; Artificial intelligence; Distributed parameter control systems; Particl Distributed Control; Swarm Intelligence; Swarm Robotics
dc.titleA survey of swarm robotics system
dc.typeConference paper
local.bibliographicCitation.lastpage572
local.bibliographicCitation.startpage564
local.contributor.affiliationShi, Zhiguo, University of Science and Technology Beijing
local.contributor.affiliationTu, Jun, University of Science and Technology Beijing
local.contributor.affiliationZhang, Qiao, University of Science and Technology Beijing
local.contributor.affiliationLiu, Lei, University of Science and Technology Beijing
local.contributor.affiliationWei, Junming, College of Engineering and Computer Science, ANU
local.contributor.authoruidWei, Junming, u4986408
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationf5625xPUB10958
local.identifier.doi10.1007/978-3-642-30976-2_68
local.identifier.scopusID2-s2.0-84875099907
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Shi_A_survey_of_swarm_robotics_2012.pdf
Size:
618.78 KB
Format:
Adobe Portable Document Format