Extraction of commonsense knowledge for "bring something" robotic service at home

Trung Ngo Lam, Katsuhiro Mayama, Makoto Mizukawa, Haeyeon Lee

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

Abstract

Sharing commonsense knowledge is one key to realize symbiosis between human and robot. However, as human knowledge is so complicated, it is difficult to extract appropriate information for robot. This paper presents our approach to extract the core part from Basic-level Knowledge Network (BKN) to be used for intuitive "Bring something" robotic service. A two-step filtering method was implemented based on the weighting mechanism of BKN. The first step used one weighting parameter to filter the most irrelevant data. The second step combined all weighting parameters from BKN with user response data from a questionnaire to estimate commoness of object-activity connections. Result showed that the proposed approach is efficient to extract the most common activities related to each object in BKN, therefore to help robot understands human intention and provide intuitive service.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012
Pages546-551
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012 - Chengdu
Duration: 2012 Aug 52012 Aug 8

Other

Other2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012
CityChengdu
Period12/8/512/8/8

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Keywords

  • commonsense knowledge
  • robotic service

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering

Cite this

Lam, T. N., Mayama, K., Mizukawa, M., & Lee, H. (2012). Extraction of commonsense knowledge for "bring something" robotic service at home. In 2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012 (pp. 546-551). [6283166] https://doi.org/10.1109/ICMA.2012.6283166