ProceedingsIEEE Computer Society Press, 2001 - Artificial intelligence |
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Page 11
... Figure 6 : Reconstruction of the Bayesian network in the experiment 1 while t = 1 . ( local network 1 ) Crossing B1 ... shown in Figure 5 ( down ) . As shown in the results , the proposed algorithm works successfully and the sensing ...
... Figure 6 : Reconstruction of the Bayesian network in the experiment 1 while t = 1 . ( local network 1 ) Crossing B1 ... shown in Figure 5 ( down ) . As shown in the results , the proposed algorithm works successfully and the sensing ...
Page 186
... shown in Figure 3. The object is a square and the environment has a step which is lower than the object . But of ... shown in Figure 4. Capital letter ( A - Z ) means an edge and small letter ( a - z ) means a vertex . Here , we only put ...
... shown in Figure 3. The object is a square and the environment has a step which is lower than the object . But of ... shown in Figure 4. Capital letter ( A - Z ) means an edge and small letter ( a - z ) means a vertex . Here , we only put ...
Page 397
... shown in figure 4. Shapes of the pin and hole are approximated by polygons , and their behav- ior in the rotational joint is simulated by using the physically - based technology . Point on a line ( circle ) Consider another geomet- ric ...
... shown in figure 4. Shapes of the pin and hole are approximated by polygons , and their behav- ior in the rotational joint is simulated by using the physically - based technology . Point on a line ( circle ) Consider another geomet- ric ...
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 | |
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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