DocumentCode :
1390443
Title :
Toward Intelligent Security Robots: A Survey
Author :
Theodoridis, Theodoros ; Hu, Huosheng
Author_Institution :
Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
Volume :
42
Issue :
6
fYear :
2012
Firstpage :
1219
Lastpage :
1230
Abstract :
In this paper, a survey is being conducted on the investigation of a four-class taxonomy related to security robots that appeared over the past three decades. The survey emphasizes on state-of-the-art mobile technologies that have been developed for crime-fighting robots, capable of crafting critical situations with confrontation strategies. Throughout this investigation, 60 projects are being examined with respect to faculties and sensor apparatus being used. A statistical analysis, which is carried on the historical developments of the most attractive frameworks, reveals the popularity of the four security robot categories and their chronological progress over the past 30 years. The categories being evaluated regard teleoperated, distributed, surveillance, and law-enforcement robot architectures. In the survey, an attempt is made to explain the importance of intelligent methodologies, and their emergent effects in security tasks. The major findings of this analysis illustrate the minor contribution of intelligent architectures in crime-fighting robots, and what constitutes an intelligent security robot.
Keywords :
mobile robots; sensors; statistical analysis; crime fighting robots; intelligent architectures; intelligent security robots; sensor apparatus; state-of-the-art mobile technologies; statistical analysis; Human factors; Mobile communication; Network security; Robot sensing systems; Surveillance; Taxonomy; Distributed robots; law-enforcement robots (LERs); security robots; surveillance robots; teleoperated robots;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
Publisher :
ieee
ISSN :
1094-6977
Type :
jour
DOI :
10.1109/TSMCC.2012.2198055
Filename :
6392475
Link To Document :
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