ProceedingsIEEE Computer Society Press, 1995 - Artificial intelligence |
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Page 7
... tion ẞ = 8.8 × 1048 with frames sequenced top - bottom , left - right . Frame 1 shows the initial configuration ... tion . Secondly , the k2 parameter of the mating func- tion m is chosen such that the obstacle avoidance terms dominates ...
... tion ẞ = 8.8 × 1048 with frames sequenced top - bottom , left - right . Frame 1 shows the initial configuration ... tion . Secondly , the k2 parameter of the mating func- tion m is chosen such that the obstacle avoidance terms dominates ...
Page 9
... tion and sequence planning . For assembly representa- tion , we define an assembly system as a tuple of sets . Sequence planning are generated as graph structures . The generation algorithm of assembly sequences ( as- sembly trees ) can ...
... tion and sequence planning . For assembly representa- tion , we define an assembly system as a tuple of sets . Sequence planning are generated as graph structures . The generation algorithm of assembly sequences ( as- sembly trees ) can ...
Page 278
... tion are being studied as an efficient complementary method [ 12 ] [ 17 ] especially useful to help in ambiguous situations . References [ 1 ] L. Basañez and R. Suárez , " Uncertainty Mod- elling in Configuration Space for Robotic Mo- tion ...
... tion are being studied as an efficient complementary method [ 12 ] [ 17 ] especially useful to help in ambiguous situations . References [ 1 ] L. Basañez and R. Suárez , " Uncertainty Mod- elling in Configuration Space for Robotic Mo- tion ...
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