論文

査読有り
2017年8月30日

Robotman: A security robot for human-robot interaction

2017 18th International Conference on Advanced Robotics, ICAR 2017
  • Alexander Lopez
  • ,
  • Renato Paredes
  • ,
  • Diego Quiroz
  • ,
  • Gabriele Trovato
  • ,
  • Francisco Cuellar

開始ページ
7
終了ページ
12
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ICAR.2017.8023489
出版者・発行元
Institute of Electrical and Electronics Engineers Inc.

In this paper we present the design, development and preliminary tests of Robotman, a robot that combines qualities for interaction with humans, and security patrolling services. The robot is inspired by the information obtained from a security company in which their personnel not only perform security patrolling services, but have to interact with people, providing additional information about the area they safeguard. The robot is able to perform security patrols during the night while functioning as a guide during the day. We designed and implemented a robust, easy to assemble, anthropomorphic security robot aiming to patrol large indoor areas, interact with humans, welcome, provide information and guide clients to their destination, as well as function as a telepresence platform for the human security guards. Our results suggest that Robotman is user friendly and pleasing to the people, it can perform security tasks and interact with them.

リンク情報
DOI
https://doi.org/10.1109/ICAR.2017.8023489
DBLP
https://dblp.uni-trier.de/rec/conf/icar/LopezPQTC17
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000426976400002&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85031664196&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85031664196&origin=inward
URL
http://dblp.uni-trier.de/db/conf/icar/icar2017.html#conf/icar/LopezPQTC17
ID情報
  • DOI : 10.1109/ICAR.2017.8023489
  • ISBN : 9781538631577
  • DBLP ID : conf/icar/LopezPQTC17
  • SCOPUS ID : 85031664196
  • Web of Science ID : WOS:000426976400002

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