ProceedingsIEEE Computer Society Press, 2001 - Artificial intelligence |
From inside the book
Results 1-3 of 53
Page 220
... optimal disassembly sequence generation procedure . The method is applied to an assembly from industry . 1. Introduction A combination of growing environmental concern and rapid technological growth has made the problem of discarded ...
... optimal disassembly sequence generation procedure . The method is applied to an assembly from industry . 1. Introduction A combination of growing environmental concern and rapid technological growth has made the problem of discarded ...
Page 265
... optimal . An important improvement in the results was obtained with the MetaGA , for the same problem instances , Table 2 . Deviations were on average less then 3 % from the best to the optimal solution and 7 optimal solutions were ...
... optimal . An important improvement in the results was obtained with the MetaGA , for the same problem instances , Table 2 . Deviations were on average less then 3 % from the best to the optimal solution and 7 optimal solutions were ...
Page 269
... Optimal Unlimited Local path - planning Extremely small Non - optimal Two Rotation Last state G Translation Stop Figure 2 : We cannot distinguish possible and impossible move- ments of two robots without knowing their last information ...
... Optimal Unlimited Local path - planning Extremely small Non - optimal Two Rotation Last state G Translation Stop Figure 2 : We cannot distinguish possible and impossible move- ments of two robots without knowing their last information ...
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