ProceedingsIEEE Computer Society Press, 1995 - Artificial intelligence |
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Page 6
... goal configurations and furthermore that the robot cannot move part 2 to its goal position unless some of the parts are moved away from their goal positions . The rest of the frames show sequen- tially sampled moves of the robot . In ...
... goal configurations and furthermore that the robot cannot move part 2 to its goal position unless some of the parts are moved away from their goal positions . The rest of the frames show sequen- tially sampled moves of the robot . In ...
Page 172
... goal of the task is defined in terms of the con- tact states between the GOM and the SFO where they achieve final assembly . We denote such contact states as the goal contact states . In addition , for each goal contact state , there ...
... goal of the task is defined in terms of the con- tact states between the GOM and the SFO where they achieve final assembly . We denote such contact states as the goal contact states . In addition , for each goal contact state , there ...
Page 177
... goal contact state and the ultimate goal neighborhood . However , the initial test results also reveal some crucial factors on the performance of the replanner . Two factors , the value of position sensing uncertainty ( p ) and the size ...
... goal contact state and the ultimate goal neighborhood . However , the initial test results also reveal some crucial factors on the performance of the replanner . Two factors , the value of position sensing uncertainty ( p ) and the size ...
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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Common terms and phrases
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