ProceedingsIEEE Computer Society Press, 2003 - Artificial intelligence |
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Page 25
( 8 ) , a disassembly Petri Net is obtained from M , where each transition
represents the disassembly of a given part ( a variable cost is assigned to the
firing of each transition , which depends on the previous firings ) . Finally , a near
- optimum ...
( 8 ) , a disassembly Petri Net is obtained from M , where each transition
represents the disassembly of a given part ( a variable cost is assigned to the
firing of each transition , which depends on the previous firings ) . Finally , a near
- optimum ...
Page 144
Wid M 13 DIRI ALAT 301 NI 2011 Figure 3 - Final feasible solution 4
Computational Results Figure 2 - Obtained solution ( unfeasible ) At this point , it
is necessary to apply a decoder to each solution , in such a way that starting
times are ...
Wid M 13 DIRI ALAT 301 NI 2011 Figure 3 - Final feasible solution 4
Computational Results Figure 2 - Obtained solution ( unfeasible ) At this point , it
is necessary to apply a decoder to each solution , in such a way that starting
times are ...
Page 267
where D , D and D . are appropriate sized partial matrices of D . From this
equation , o c is obtained by the least square approximation as Ônc = D ; ( Ocd -
ID : DJLOCAT : ) . ( 25 ) We can deal the case , where more than three
trajectories are ...
where D , D and D . are appropriate sized partial matrices of D . From this
equation , o c is obtained by the least square approximation as Ônc = D ; ( Ocd -
ID : DJLOCAT : ) . ( 25 ) We can deal the case , where more than three
trajectories are ...
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Contents
Microassembly Microfactory | 1 |
Microassembly and Microfactory | 2 |
Scheduling | 16 |
Copyright | |
7 other sections not shown
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actuator algorithm allows applied approach assembly planning assembly sequences assembly system assigned Automation blocks cell complete components computation configuration connected considered constraints corresponding cost cycle defined depends described determined developed device direction disassembly effect environment equation equipment evaluation example execution Figure final flexible force France function geometric given graph grasping gripper handling holons industrial initial integrated Introduction machining manipulation manufacturing material measured mechanical method micro motion move object obtained operation optimal orientation parameters path performance piezoelectric position possible precedence presented problem Proceedings programming proposed provides References relation representation represents respectively robot scheduling selected sensor shape shown shows simulation solution space step structure surface task Task Planning tion tolerance torque transition virtual volume workstation