ProceedingsIEEE Computer Society Press, 1995 - Artificial intelligence |
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Page 19
... mating of the snap fastener from Fig.5 . Altogether we recognize a good correspondence between theory and experiment . The force vs. distance graphs show an unsteady shape be- cause of the nonsmooth contour of the snap hooks . It is ...
... mating of the snap fastener from Fig.5 . Altogether we recognize a good correspondence between theory and experiment . The force vs. distance graphs show an unsteady shape be- cause of the nonsmooth contour of the snap hooks . It is ...
Page 98
... mating features , ( c ) a serial chain of ( a ) , and ( d ) a multi chain of ( b ) nom MAX 0.0 Figure 6 ... mating features can be located at any pose for mat- ing . In the second case , the assemblability measure can be calculated using ...
... mating features , ( c ) a serial chain of ( a ) , and ( d ) a multi chain of ( b ) nom MAX 0.0 Figure 6 ... mating features can be located at any pose for mat- ing . In the second case , the assemblability measure can be calculated using ...
Page 381
... mating . The difficulties in assembly strategies result from the errors of assembly system as well as the complexity of the assembly process . To solve this problem , we propose an active - passive assembly algorithm by integrating a ...
... mating . The difficulties in assembly strategies result from the errors of assembly system as well as the complexity of the assembly process . To solve this problem , we propose an active - passive assembly algorithm by integrating a ...
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