Design optimization of a spatial six degree-of-freedom parallel manipulator based on artificial intelligence approaches

Robotics and Computer-Integrated Manufacturing

Volumn 26, Issue 2, 2010, Pages 180-189

  Gao, Zhen ^a   Zhang, Dan ^a   Ge, Yunjian ^b  

^a UNIVERSITY OF ONTARIO INSTITUTE OF TECHNOLOGY   (Canada)

^b INSTITUTE OF INTELLIGENT MACHINES   (China)

Author keywords

Artificial neural networks; Dexterity; Genetic algorithms; Optimization design; System stiffness

Indexed keywords

ANALYTICAL SOLUTIONS; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; BACKPROPAGATION LEARNING ALGORITHM; DESIGN OPTIMIZATION; DIMENSIONAL SYNTHESIS; EFFECTIVE SOLUTION; GEOMETRICAL PARAMETERS; INTELLIGENT OPTIMIZATION; KINEMATIC ANALYSIS; LEVENBERG-MARQUARDT ALGORITHM; OBJECTIVE FUNCTIONS; OPTIMIZATION DESIGN; OPTIMIZATION TECHNIQUES; PARALLEL MANIPULATORS; PARALLEL MECHANISMS; PARETO-OPTIMAL FRONTIERS; PERFORMANCE INDICES; SIX DEGREE-OF-FREEDOM; SOLUTION SPACE; SYSTEM STIFFNESS; TRAINED NEURAL NETWORKS;

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; GENETIC ALGORITHMS; LEARNING ALGORITHMS; MANIPULATORS; MECHANISMS; MULTIOBJECTIVE OPTIMIZATION; PARALLEL ALGORITHMS; RIGIDITY; SIMULATORS; STIFFNESS;

NEURAL NETWORKS;

EID: 71849088372     PISSN: 07365845     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rcim.2009.07.002     Document Type: Article

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