ProceedingsIEEE Computer Society Press, 1995 - Artificial intelligence |
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Page 150
... parameters values were used in the simulation runs : • The average processing time for an operation : this parameter ... parameters for the PR scheme discussed in Section 3. Note that almost all parameters , namely : flow time ...
... parameters values were used in the simulation runs : • The average processing time for an operation : this parameter ... parameters for the PR scheme discussed in Section 3. Note that almost all parameters , namely : flow time ...
Page 174
... parameters are : w2 = 100mm , h2 = 20mm , α = π / 6 , w1 = 0.8w3 , the initial orientation a error Фо = 0.1 rad , and the length of the nominal path L = 200mm . The goal contact state is the face- face contact between the GOM bottom ...
... parameters are : w2 = 100mm , h2 = 20mm , α = π / 6 , w1 = 0.8w3 , the initial orientation a error Фо = 0.1 rad , and the length of the nominal path L = 200mm . The goal contact state is the face- face contact between the GOM bottom ...
Page 406
... parameters of virtual impedance such as virtual spring coeffi- cients , normal length of the spring and reference points . When some adequate parameters can be selected as a function of specific environmental situation , these ...
... parameters of virtual impedance such as virtual spring coeffi- cients , normal length of the spring and reference points . When some adequate parameters can be selected as a function of specific environmental situation , these ...
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