A review of metaheuristics in robotics
Simon Fong1; Suash Deb2; Ankit Chaudhary3
2014
Source PublicationComputers and Electrical Engineering
ISSN0045-7906
Volume43Pages:278-291
Abstract

Metaheuristics have a substantial history in fine-tuning machine learning algorithms. They gained tremendous popularity in many application domains. Robotics on the other hand is a wide research discipline that embraces artificial intelligence in a complex individually-thinking robot and distributed robots. Recently, metaheuristics made a significant impact on the application areas of collaborating robotics. This new trend of collaborating robotics, offers the possibility of enhanced task performance, high reliability, low unit complexity and decreased cost over traditional robotic systems. Collaborating robots however are more than just networks of independent agents; they are potentially reconfigurable networks of communicating agents capable of coordinated sensing and interaction with the environment. On the conceptual level, these bots can be empowered by the logics of metaheuristic algorithms which share the same functionalities and capabilities. This paper reviews the recent advances of metaheuristic algorithms on robotics applications. A taxonomy is provided as a reference for robotics designers. 

KeywordCollaborative Robotics Metaheuristics Robotics Survey Swarm Intelligence
DOIhttps://doi.org/10.1016/j.compeleceng.2015.01.009
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Interdisciplinary Applications ; Engineering, Electrical & Electronic
WOS IDWOS:000357708400022
PublisherPERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
The Source to ArticleScopus
Fulltext Access
Citation statistics
Cited Times [WOS]:19   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorSimon Fong; Suash Deb; Ankit Chaudhary
Affiliation1.Department of Computer and Information Science, University of Macau, Macau
2.Department of Computer Science and Engineering, Cambridge Institute of Technology, Ranchi, India
3.Department of Computer Science, Truman State University, Kirksville, MO 63501, USA
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Simon Fong,Suash Deb,Ankit Chaudhary. A review of metaheuristics in robotics[J]. Computers and Electrical Engineering,2014,43:278-291.
APA Simon Fong,Suash Deb,&Ankit Chaudhary.(2014).A review of metaheuristics in robotics.Computers and Electrical Engineering,43,278-291.
MLA Simon Fong,et al."A review of metaheuristics in robotics".Computers and Electrical Engineering 43(2014):278-291.
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