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Volumn , Issue , 2007, Pages 951-958

Metrics for quantifying system performance in intelligent, fault-tolerant multi-robot teams

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; INDUSTRIAL ROBOTS; INTELLIGENT ROBOTS; INTELLIGENT SYSTEMS; MULTIPURPOSE ROBOTS; QUALITY CONTROL; RELIABILITY; ROBOTICS; ROBOTS;

EID: 51349089580     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399530     Document Type: Conference Paper
Times cited : (13)

References (16)
  • 3
    • 20844431507 scopus 로고    scopus 로고
    • How UGVs physically fail in the field
    • June
    • J. Carlson and R. R. Murphy. How UGVs physically fail in the field. IEEE Transactions on Robotics. 21(3):423-437, June 2005.
    • (2005) IEEE Transactions on Robotics , vol.21 , Issue.3 , pp. 423-437
    • Carlson, J.1    Murphy, R.R.2
  • 5
    • 51349086228 scopus 로고    scopus 로고
    • J. Evans and E. Messina. Performance metrics for intelligent systems. In Performance Metrics for Intelligent Systems (PerMIS) Proceedings, Part II, August 2000.
    • J. Evans and E. Messina. Performance metrics for intelligent systems. In Performance Metrics for Intelligent Systems (PerMIS) Proceedings, volume Part II, August 2000.
  • 14
    • 0035588469 scopus 로고    scopus 로고
    • Evaluating success in autonomous multi-robot teams: Experiences from ALLIANCE architecture implementations
    • L. E. Parker. Evaluating success in autonomous multi-robot teams: Experiences from ALLIANCE architecture implementations. Journal of Theoretical and Experimental Artificial Intelligence, 13:95-98, 2001.
    • (2001) Journal of Theoretical and Experimental Artificial Intelligence , vol.13 , pp. 95-98
    • Parker, L.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.