P300 BCI based planning behavior selection network for humanoid robot control

Sung Jae Yun, Myeong Chun Lee, Sung Bae Cho

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

3 Citations (Scopus)

Abstract

We propose planning behavior selection network (PBSN) based brain-computer interface (BCI) for controlling a humanoid robot. BCI provides commands to external devices or computer applications only using user's brain signals. However, few commands from BCI cause user fatigue. PBSN is a hybrid method between reactive system and goal-oriented planning system. PBSN has two beneficial points. One is robustness of reactive system and the other is long-term goal planning of planning system. This only requires high-level commands from the user and frees from make low level command to operate the robot. Finally, it makes possible to reduce user's fatigue. Online accuracy test gives reasonable accuracy rate, and PBSN based online simulation shows possibility as an assistant humanoid robot.

Original languageEnglish
Title of host publicationProceedings - 2013 9th International Conference on Natural Computation, ICNC 2013
PublisherIEEE Computer Society
Pages354-358
Number of pages5
ISBN (Print)9781467347143
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 9th International Conference on Natural Computation, ICNC 2013 - Shenyang, China
Duration: 2013 Jul 232013 Jul 25

Publication series

NameProceedings - International Conference on Natural Computation
ISSN (Print)2157-9555

Other

Other2013 9th International Conference on Natural Computation, ICNC 2013
CountryChina
CityShenyang
Period13/7/2313/7/25

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Biomedical Engineering
  • Computational Mechanics
  • Mathematics(all)
  • Neuroscience(all)

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  • Cite this

    Yun, S. J., Lee, M. C., & Cho, S. B. (2013). P300 BCI based planning behavior selection network for humanoid robot control. In Proceedings - 2013 9th International Conference on Natural Computation, ICNC 2013 (pp. 354-358). [6818000] (Proceedings - International Conference on Natural Computation). IEEE Computer Society. https://doi.org/10.1109/ICNC.2013.6818000