ProceedingsIEEE Computer Society Press, 1999 - Artificial intelligence |
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Page 95
... variables , the corresponding testing operation is named functional testing . The operative variables are the variables on which testing operations are based . One operative testing corresponds to each operative variable . The values of ...
... variables , the corresponding testing operation is named functional testing . The operative variables are the variables on which testing operations are based . One operative testing corresponds to each operative variable . The values of ...
Page 296
... variables . The variables in the generalised description are not arbitrary . Each constant , wherever it appears playing the same role in the concrete episode description , is consistently replaced by the same variable . Therefore ...
... variables . The variables in the generalised description are not arbitrary . Each constant , wherever it appears playing the same role in the concrete episode description , is consistently replaced by the same variable . Therefore ...
Page 308
... variables , which means it tracks the upper and lower bounds of values of variables . Just like " store " has all the current constraints of variables , the " prev store " has constraints of variables at a previous stage . So we can ...
... variables , which means it tracks the upper and lower bounds of values of variables . Just like " store " has all the current constraints of variables , the " prev store " has constraints of variables at a previous stage . So we can ...
Contents
ASSEMBLY | 1 |
FeatureBased Assembly Model and MultiAgents System structure for ComputerAided Assembly | 8 |
Construction of the Precedence Graphs Equivalent to a Given Set of Assembly Sequences | 14 |
Copyright | |
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1999 IEEE International algorithm analysis analyzed applied approach Archimedes Assembly and Task assembly features assembly modeling assembly planning assembly process assembly sequence automated assembly automatically axis components Computer Conf configuration configuration space constraint manager constraints cost defined deformation described Design for Assembly developed disassembly processes Engineering evaluation example feasible fixturing force framework function Genetic Algorithms geometric gripper IEEE International Symposium implemented input integration joint kinematic kinematic pairs machining manipulator manufacturing matrix method module motion planning node object operations optimal orientation path planning path representation performed planner Portugal position precedence graph problem Proc process planning product design recycling representation represented Robotics and Automation rotation screw theory shown in Figure simulation solution space sphere step strategy structure subassembly Symposium on Assembly Task Planning Porto testing tool trajectory twistmatrix variables vector workcell