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Volumn , Issue , 2007, Pages 429-436

Ontology-based multi-layered robot knowledge framework (OMRKF) for robot intelligence

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION THEORY; INTELLIGENT ROBOTS; INTELLIGENT SYSTEMS; KNOWLEDGE BASED SYSTEMS; ONTOLOGY;

EID: 51349091567     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399082     Document Type: Conference Paper
Times cited : (88)

References (16)
  • 5
    • 34547263251 scopus 로고    scopus 로고
    • Standard Upper Ontology Working Group
    • J. Schoening, IEEE P1600.1 Standard Upper Ontology Working Group, http://suo.ieee.org.
    • IEEE P1600.1
    • Schoening, J.1
  • 9
    • 33750563804 scopus 로고    scopus 로고
    • Ontology-based Framework of Robot Context Modeling and Reasoning for Object Recognition
    • W. Hwang, J. Park, H. Suh, H. Kim and I.H. Suh, "Ontology-based Framework of Robot Context Modeling and Reasoning for Object Recognition," Lecture notes in Computer Science, 2006, pp. 596-606.
    • (2006) Lecture notes in Computer Science , pp. 596-606
    • Hwang, W.1    Park, J.2    Suh, H.3    Kim, H.4    Suh, I.H.5
  • 12
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, Vol.60, pp.91-110, 2004.
    • (2004) International Journal of Computer Vision , vol.60 , pp. 91-110
    • Lowe, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.