Performance improvement of a robot photographer using a multiple human detection system to activate the community

Kazuma Fujimoto, Nobuto Matsuhira, Masayuki Murakami, Kazuhiro Sakashita, Toru Yamaguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Service robots for daily work activities have been anticipated for several years even though it is difficult for companies to estimate their market demand and future usage. To overcome these problems, various types of robots are to be developed and verified by demonstration tasks using standard software. If many developers use the standard software to develop robots, the possibility to find a killer application of the robots will be increased and the service robot market will be widespread. Thus, we developed a prototype of a robot photographer using Robotics Technology Middleware to activate the community. The robot was developed quickly and easily. However, the success rate for capturing pictures was low in various environments. Therefore, we analyzed the cause of failures and proposed a correction algorithm. To improve the robot performance, we developed a multiple human detection system with recovery motion.

Original languageEnglish
Title of host publication2016 IEEE Workshop on Advanced Robotics and its Social Impacts, IEEE ARSO 2016
PublisherIEEE Computer Society
Pages158-163
Number of pages6
ISBN (Electronic)9781509040773
DOIs
Publication statusPublished - 2016 Nov 4
Event2016 IEEE Workshop on Advanced Robotics and its Social Impacts, IEEE ARSO 2016 - Shanghai, China
Duration: 2016 Jul 72016 Jul 10

Publication series

NameProceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
Volume2016-November
ISSN (Print)2162-7568
ISSN (Electronic)2162-7576

Other

Other2016 IEEE Workshop on Advanced Robotics and its Social Impacts, IEEE ARSO 2016
Country/TerritoryChina
CityShanghai
Period16/7/716/7/10

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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