Use of support vector regression in stable trajectory generation for walking humanoid robots

ETRI Journal

Volumn 31, Issue 5, 2009, Pages 565-575

  Kim, Dong Won ^a,b   Seo, Sam Jun ^c   De Silva, Clarence W ^d   Park, Gwi Tae ^e  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Inha Technical College   (South Korea)

^c Anyang University   (South Korea)

^d UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^e Korea University   (South Korea)

Author keywords

Stability of humanoid robots; SVM; Walking pattern identification; Zero moment point

Indexed keywords

BIPED WALKING ROBOTS; COMPLEX DYNAMICS; HUMANOID ROBOT; KERNEL METHODS; LEARNING FROM EXAMPLES; RADIAL BASIS FUNCTIONS; RBF KERNEL FUNCTION; STABLE WALKING; SUPPORT VECTOR REGRESSIONS; SVM; TRAJECTORY GENERATION; WALKING PATTERN IDENTIFICATION; WALKING ROBOTS; WALKING TRAJECTORY; ZERO MOMENT POINT;

MOBILE ROBOTS; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES;

ANTHROPOMORPHIC ROBOTS;

EID: 70350166970     PISSN: 12256463     EISSN: None     Source Type: Journal    
DOI: 10.4218/etrij.09.0108.0452     Document Type: Article

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