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Volumn 17, Issue , 2005, Pages 361-376

A machine learning approach for feature-sensitive motion planning

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING; PLANNING;

EID: 84880152114     PISSN: 16107438     EISSN: 1610742X     Source Type: Book Series    
DOI: 10.1007/10991541_25     Document Type: Article
Times cited : (72)

References (27)
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    • Brock, O.1    Kavraki, L.E.2
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    • A subdivision algorithm in configuration space for findpath with rotation
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    • Brooks, R.A.1    Lozano-Pérez, T.2
  • 8
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    • Prediction of local structure in proteins using a library of sequence-structure motifs
    • C. Bystroff and D. Baker. Prediction of local structure in proteins using a library of sequence-structure motifs. In J. Mol. Biol., volume 281, pages 565-577, 1998.
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    • Bystroff, C.1    Baker, D.2
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    • Probabilistic roadmaps for path planning in high-dimensional configuration spaces
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    • (1996) IEEE Trans. Robot. Automat , vol.12 , Issue.4 , pp. 566-580
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  • 15
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    • Khatib, O.1
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    • 0018533130 scopus 로고
    • An algorithm for planning collision-free paths among polyhedral obstacles
    • October
    • T. Lozano-Péerez and M. A. Wesley. An algorithm for planning collision-free paths among polyhedral obstacles. Communications of the ACM, 22(10):560-570, October 1979.
    • (1979) Communications of the ACM , vol.22 , Issue.10 , pp. 560-570
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  • 21
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    • A two level fuzzy PRM for manipulation planning
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    • Nielsen, C.L.1    Kavraki, L.E.2
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    • Overmars, M.1
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    • San Juan, Puerto Rico
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    • (1999) Proc. IEEE Int. Conf. Robot. Autom. (ICRA) , vol.2 , pp. 1024-1031
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.