ProceedingsIEEE Computer Society Press, 1995 - Artificial intelligence |
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Page 12
... Step 2 For each c ; in Q , j = 1 , ... , n , fj = range 1 ( c ; ) D ; = domain ( fj ) = ( C1 , . . . , © q ) , i.e. fj ( C1 , ... , Cq ) → Cj TT | Dj , i.e. concatenate D ; to Ti Dj = Dj Dj - ( base parts in Dj ) Repeat Step 2 for all j = ...
... Step 2 For each c ; in Q , j = 1 , ... , n , fj = range 1 ( c ; ) D ; = domain ( fj ) = ( C1 , . . . , © q ) , i.e. fj ( C1 , ... , Cq ) → Cj TT | Dj , i.e. concatenate D ; to Ti Dj = Dj Dj - ( base parts in Dj ) Repeat Step 2 for all j = ...
Page 117
... steps . The step at the tail of the arrow must be done before the step at the head of the arrow . Although the fixture used in each step is not shown , the fixture for this graph is a table vise whose jaws clamp the left and right sides ...
... steps . The step at the tail of the arrow must be done before the step at the head of the arrow . Although the fixture used in each step is not shown , the fixture for this graph is a table vise whose jaws clamp the left and right sides ...
Page 198
... step 2 : first centering the image of objects in left image plane ( upper image pair ) ; then centering image in right image plane ( below ) , too Fig.10 : a pair of images in step 1 : left and right A step 5 : Investigate whether the ...
... step 2 : first centering the image of objects in left image plane ( upper image pair ) ; then centering image in right image plane ( below ) , too Fig.10 : a pair of images in step 1 : left and right A step 5 : Investigate whether the ...
Contents
A New Approach for the Specification of Assembly Systems | 9 |
Plan Representation and Generation for Manufacturing Tasks | 22 |
Lessons Learned from a Second Generation Assembly Planning System | 41 |
Copyright | |
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algorithm analysis applied approach Artificial Intelligence assembly model assembly operations assembly planning assembly sequences assembly task camera cell clearance collision common ontology components Computer Conf Conference on Robotics configuration space constraints convex coordinates corresponding Cspace decomposition defined described disassembly domain ellipsoid equation example execution feasible fixels fixture function geometric global goal graph grasp gripper handler IEEE implemented initial input insertion intersection knowledge representation machine manipulator Manufacturing Systems mating method motion planning moving nodes object obstacles octree ontology optimal orientation parameters path path planning performance Petri net Petri nets planner position problem Proc process planning rendezvous-point represent representation robot motion Robotics and Automation scheduling sensor shown in Figure simulation snap fastener solution strategy structure subassemblies subgoal task planning ternary operations tion tool trajectory transition uncertainty vector voxels workcell workpieces