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Volumn , Issue , 2010, Pages 2676-2683
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Imitation learning of globally stable non-linear point-to-point robot motions using nonlinear programming
a
EPFL
(Switzerland)
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Author keywords
[No Author keywords available]
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Indexed keywords
DISCRETE MOTION;
GAUSSIAN MIXTURE MODEL;
GLOBALLY ASYMPTOTICALLY STABLE;
IMITATION LEARNING;
LEARNING METHODS;
NON-LINEAR;
NON-LINEAR CONSTRAINTS;
OPERATIONAL SPACE;
OPTIMIZATION PROBLEMS;
ROBOT MOTION;
ROBOTIC EXPERIMENTS;
SPATIAL PERTURBATIONS;
SUFFICIENT CONDITIONS;
TIME INVARIANTS;
DYNAMICAL SYSTEMS;
OPTIMIZATION;
ROBOT PROGRAMMING;
INTELLIGENT ROBOTS;
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EID: 78651493878
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/IROS.2010.5651259 Document Type: Conference Paper |
Times cited : (66)
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References (17)
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