ProceedingsIEEE Computer Society Press, 2001 - Artificial intelligence |
From inside the book
Results 1-3 of 90
Page 149
... parameters called con- figuration parameters . These include , for example , the joint parameter of the manipulator . The shapes and positions of the obstacles are represented by the aspect parameters . The manipulator can obtain all ...
... parameters called con- figuration parameters . These include , for example , the joint parameter of the manipulator . The shapes and positions of the obstacles are represented by the aspect parameters . The manipulator can obtain all ...
Page 155
... parameters -General Input Parameter- Prameters for Buffer B1 , B2 , B3 ... .... Bn Production Simulater . Simulation1 P1 : Cycle Time P2 : Machine Number Prameters for Buffer B1 , B2 , B3 Bn ' Simulation2 Tool Prameters for Buffer ) B1 ...
... parameters -General Input Parameter- Prameters for Buffer B1 , B2 , B3 ... .... Bn Production Simulater . Simulation1 P1 : Cycle Time P2 : Machine Number Prameters for Buffer B1 , B2 , B3 Bn ' Simulation2 Tool Prameters for Buffer ) B1 ...
Page 157
... Parameters Values of Simulator In order to work the production line simulator including GA system , we must decide the parameters values mentioned in STEP1 and 2 of Section 2. The parameters are two kinds , basic parameters P and the ...
... Parameters Values of Simulator In order to work the production line simulator including GA system , we must decide the parameters values mentioned in STEP1 and 2 of Section 2. The parameters are two kinds , basic parameters P and the ...
Contents
Session M1B Assembly Planning Room | 27 |
Session M1C Production System1 Room C | 61 |
Concurrent Requirement Specification for Conceptual Design of Modular Assembly Cells | 79 |
Copyright | |
17 other sections not shown
Other editions - View all
Common terms and phrases
4th IEEE International air hoist algorithm applied approach Assembly and Task assembly model assembly planning assembly process assembly sequences assembly system assembly task automatic B-spline Bayesian network calculated camera cell components computed configuration constraints contact point coordinate cost defined described developed disassembly disassembly sequences dynamic environment evaluation feasible finger flexible force Fukuoka function genetic algorithm geometric holons IEEE International Symposium information entropy input Japan kinematic liaison Lie algebra machine manipulation manufacturing matrix mechanical method misalignment mobile robot module motion planning node obstacles obtained operation optimal parameters path Petri Petri net Planning Soft Research pneumatic circuit possible precedence graph problem proposed Radon transform recycling represented Robotics and Automation rotation self-organizing map sensor shown in Figure simulation Soft Research Park solutions specific step subassembly Symposium on Assembly Task Planning Soft tion trajectory vector velocity