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Volumn , Issue , 2007, Pages 709-714

A Bayesian approach to imitation learning for robot navigation

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COST BENEFIT ANALYSIS; GROUND VEHICLES; INTELLIGENT ROBOTS; INTELLIGENT SYSTEMS;

EID: 51349084589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399220     Document Type: Conference Paper
Times cited : (27)

References (10)
  • 2
    • 33846984231 scopus 로고    scopus 로고
    • Learning obstacle avoidance parameters from operator behavior
    • B. Hamner, S. Singh, and S. Scherer. Learning obstacle avoidance parameters from operator behavior. Journal of Field Robotics, 23(11/12):1037-1058, 2006.
    • (2006) Journal of Field Robotics , vol.23 , Issue.11-12 , pp. 1037-1058
    • Hamner, B.1    Singh, S.2    Scherer, S.3
  • 3
    • 67649167464 scopus 로고    scopus 로고
    • Enhancing supervised terrain classification with predictive unsupervised learning
    • M. Happold, M. Ollis, and N. Johnson. Enhancing supervised terrain classification with predictive unsupervised learning. In Robotics: Science and Systems II, 2006.
    • (2006) Robotics: Science and Systems II
    • Happold, M.1    Ollis, M.2    Johnson, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.