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Volumn 2015-December, Issue , 2015, Pages 1060-1066

Efficient self-collision avoidance based on focus of interest for humanoid robots

Author keywords

Collision avoidance; Humanoid robots; Jacobian matrices; Kinematics; Libraries; Optimization

Indexed keywords

ANTHROPOMORPHIC ROBOTS; ARTIFICIAL INTELLIGENCE; COLLISION AVOIDANCE; FORECASTING; INVERSE KINEMATICS; INVERSE PROBLEMS; JACOBIAN MATRICES; KINEMATICS; LEARNING SYSTEMS; LIBRARIES; OPTIMIZATION; SUPPORT VECTOR MACHINES;

EID: 84962306502     PISSN: 21640572     EISSN: 21640580     Source Type: Conference Proceeding    
DOI: 10.1109/HUMANOIDS.2015.7363500     Document Type: Conference Paper
Times cited : (42)

References (22)
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    • (2011) Robotics, IEEE Transactions on , vol.27 , Issue.4 , pp. 785-792
    • Kanoun, O.1    Lamiraux, F.2    Wieber, P.-B.3
  • 20
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V. Vapnik, "Support-vector networks, " Machine learning, vol. 20, no. 3, pp. 273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 22
    • 33746637788 scopus 로고    scopus 로고
    • A practical guide to support vector classification
    • C. J. Lin, C.-W. Hsu, and C.-C. Chang, "A practical guide to support vector classification, " National Taiwan U., www. csie. ntu. edu. tw/cjlin/papers/guide/guide. pdf, 2003.
    • (2003) National Taiwan U
    • Lin, C.J.1    Hsu, C.-W.2    Chang, C.-C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.