ProceedingsIEEE Computer Society Press, 2001 - Artificial intelligence |
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Page 5
... trajectory obtained deterministically after learning { b } ( j = 1,2,3 ) two hundred thousand times Figure 6 shows the trajectory obtained using unlearned values . When obtaining the trajectories shown in Fig.4 ( c ) , Fig.5 ( c ) and ...
... trajectory obtained deterministically after learning { b } ( j = 1,2,3 ) two hundred thousand times Figure 6 shows the trajectory obtained using unlearned values . When obtaining the trajectories shown in Fig.4 ( c ) , Fig.5 ( c ) and ...
Page 92
... trajectory described by B - spline . In the trajectory generation values of B - spline control points are optimized by the Complex Method . The algorithm has following advantages : ( 1 ) it only needs computation of a performance index ...
... trajectory described by B - spline . In the trajectory generation values of B - spline control points are optimized by the Complex Method . The algorithm has following advantages : ( 1 ) it only needs computation of a performance index ...
Page 472
... trajectory motion We explain the method for generating spiral trajectory based on Fig.7 , Fig 8a and Fig.8h Fig.7 shows a illustration of a spiral trajectory generated by mate gear skill . { S } is the station frame fixed near the ...
... trajectory motion We explain the method for generating spiral trajectory based on Fig.7 , Fig 8a and Fig.8h Fig.7 shows a illustration of a spiral trajectory generated by mate gear skill . { S } is the station frame fixed near 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 | |
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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