Learning novel objects using out-of-vocabulary word segmentation and object extraction for home assistant robots

Muhammad Attamimi, Akira Mizutani, Tomoaki Nakamura, Komei Sugiura, Takayuki Nagai, Naoto Iwahashi, Hiroyuki Okada, Takashi Omori

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

13 Citations (Scopus)

Abstract

This paper presents a method for learning novel objects from audio-visual input. Objects are learned using out-of-vocabulary word segmentation and object extraction. The latter half of this paper is devoted to evaluations. We propose the use of a task adopted from the RoboCup@Home league as a standard evaluation for real world applications. We have implemented proposed method on a real humanoid robot and evaluated it through a task called "Supermarket". The results reveal that our integrated system works well in the real application. In fact, our robot outperformed the maximum score obtained in RoboCup@Home 2009 competitions.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Robotics and Automation, ICRA 2010
Pages745-750
Number of pages6
DOIs
Publication statusPublished - 2010 Aug 27
Externally publishedYes
Event2010 IEEE International Conference on Robotics and Automation, ICRA 2010 - Anchorage, AK, United States
Duration: 2010 May 32010 May 7

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Other

Other2010 IEEE International Conference on Robotics and Automation, ICRA 2010
CountryUnited States
CityAnchorage, AK
Period10/5/310/5/7

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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  • Cite this

    Attamimi, M., Mizutani, A., Nakamura, T., Sugiura, K., Nagai, T., Iwahashi, N., Okada, H., & Omori, T. (2010). Learning novel objects using out-of-vocabulary word segmentation and object extraction for home assistant robots. In 2010 IEEE International Conference on Robotics and Automation, ICRA 2010 (pp. 745-750). [5509417] (Proceedings - IEEE International Conference on Robotics and Automation). https://doi.org/10.1109/ROBOT.2010.5509417