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Volumn 1498 LNCS, Issue , 1998, Pages 583-592

Learning to avoid moving obstacles optimally for mobile robots using a genetic-fuzzy approach

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY INFERENCE; FUZZY LOGIC; FUZZY RULES; MEMBERSHIP FUNCTIONS; MOBILE ROBOTS; MOTION PLANNING; TRAVEL TIME;

EID: 84878593149     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0056900     Document Type: Conference Paper
Times cited : (4)

References (19)
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  • 6
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  • 8
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    • Griswold, N.C.1    Eem, J.2
  • 10
    • 0002191257 scopus 로고
    • Design of an adaptive fuzzy logic controller using a genetic algorithm
    • Morgan Kaufmann, San Mateo CA
    • Karr C, Design of an adaptive fuzzy logic controller using a genetic algorithm, Proc. of the Fourth Int. Conf. on Genetic Algorithms, Morgan Kaufmann, San Mateo CA, 450-457, 1991.
    • (1991) Proc. of the Fourth Int. Conf. on Genetic Algorithms , pp. 450-457
    • Karr, C.1
  • 11
    • 0003896351 scopus 로고
    • Kluwer Academic Publishing, Norwell, MA
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    • (1991) Robot Motion Planning
    • Latombe, J.C.1
  • 12
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    • (1994) The Int. Jl. of Robotics Research , pp. 496-507
    • Lamadrid, J.G.1
  • 14
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    • Fuzzy logic based collision avoidance for a mobile robot
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    • Martinez, A.1
  • 15
    • 0022937373 scopus 로고
    • Decision of robot movement by means of a potential field
    • Okutomi M. and Mori M., Decision of robot movement by means of a potential field, Advanced Robotics, 1(2), 131-141, 1986.
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    • Okutomi, M.1    Mori, M.2
  • 16
    • 0023263670 scopus 로고
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  • 17
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    • Nice, France
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  • 18
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  • 19
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.