ProceedingsIEEE Computer Society Press, 1995 - Artificial intelligence |
From inside the book
Results 1-3 of 55
Page 116
... surface of the groove , which would not meet its surface finish requirement . Pocket 1 and Pocket 2 are made by methods M2 and M3 respectively . In both these methods the part is clamped so that side 1 is facing up , while the pocket is ...
... surface of the groove , which would not meet its surface finish requirement . Pocket 1 and Pocket 2 are made by methods M2 and M3 respectively . In both these methods the part is clamped so that side 1 is facing up , while the pocket is ...
Page 233
... surfaces geometry , parallelism , contact surface area , perpendicular distance between faces , torque , face type ( internal , external ) , material type , surface finish and tasks involved . The surface pair which best satisfies the ...
... surfaces geometry , parallelism , contact surface area , perpendicular distance between faces , torque , face type ( internal , external ) , material type , surface finish and tasks involved . The surface pair which best satisfies the ...
Page 236
... surface F is in contact , the other portion remains free . In this case F is a composite set made from the subset of contact surface ( s ) FC and free surface ( s ) FD . ( for example F22 FC22 + FD22 in figure 1 ) . BODY SHELL PART PART ...
... surface F is in contact , the other portion remains free . In this case F is a composite set made from the subset of contact surface ( s ) FC and free surface ( s ) FD . ( for example F22 FC22 + FD22 in figure 1 ) . BODY SHELL PART PART ...
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 | |
33 other sections not shown
Other editions - View all
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