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

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
Volume2016-November
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

Other

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

Fingerprint

Robots
Middleware
Robotics
Demonstrations
Recovery
Industry

ASJC Scopus subject areas

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

Cite this

Fujimoto, K., Matsuhira, N., Murakami, M., Sakashita, K., & Yamaguchi, T. (2016). Performance improvement of a robot photographer using a multiple human detection system to activate the community. In 2016 IEEE Workshop on Advanced Robotics and its Social Impacts, IEEE ARSO 2016 (Vol. 2016-November, pp. 158-163). [7736274] IEEE Computer Society. https://doi.org/10.1109/ARSO.2016.7736274

Performance improvement of a robot photographer using a multiple human detection system to activate the community. / Fujimoto, Kazuma; Matsuhira, Nobuto; Murakami, Masayuki; Sakashita, Kazuhiro; Yamaguchi, Toru.

2016 IEEE Workshop on Advanced Robotics and its Social Impacts, IEEE ARSO 2016. Vol. 2016-November IEEE Computer Society, 2016. p. 158-163 7736274.

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

Fujimoto, K, Matsuhira, N, Murakami, M, Sakashita, K & Yamaguchi, T 2016, Performance improvement of a robot photographer using a multiple human detection system to activate the community. in 2016 IEEE Workshop on Advanced Robotics and its Social Impacts, IEEE ARSO 2016. vol. 2016-November, 7736274, IEEE Computer Society, pp. 158-163, 2016 IEEE Workshop on Advanced Robotics and its Social Impacts, IEEE ARSO 2016, Shanghai, China, 16/7/7. https://doi.org/10.1109/ARSO.2016.7736274
Fujimoto K, Matsuhira N, Murakami M, Sakashita K, Yamaguchi T. Performance improvement of a robot photographer using a multiple human detection system to activate the community. In 2016 IEEE Workshop on Advanced Robotics and its Social Impacts, IEEE ARSO 2016. Vol. 2016-November. IEEE Computer Society. 2016. p. 158-163. 7736274 https://doi.org/10.1109/ARSO.2016.7736274
Fujimoto, Kazuma ; Matsuhira, Nobuto ; Murakami, Masayuki ; Sakashita, Kazuhiro ; Yamaguchi, Toru. / Performance improvement of a robot photographer using a multiple human detection system to activate the community. 2016 IEEE Workshop on Advanced Robotics and its Social Impacts, IEEE ARSO 2016. Vol. 2016-November IEEE Computer Society, 2016. pp. 158-163
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