ProceedingsIEEE Computer Society Press, 2003 - Artificial intelligence |
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Page 264
... trajectory and does not require any derivatives of them . As the input trajectories after the convergence of learning are expressed by B - spline curves , they are easily memorized as input patterns corresponding to specified works . 1 ...
... trajectory and does not require any derivatives of them . As the input trajectories after the convergence of learning are expressed by B - spline curves , they are easily memorized as input patterns corresponding to specified works . 1 ...
Page 265
... trajectory is Oad ( t ) , the actual output trajectory is Oc ( t ) , the desired input trajectory corresponding to cd ( t ) is Ord ( t ) , and the actual input is 0 , ( t ) . It is then assumed that the dynamics of the controlled robot ...
... trajectory is Oad ( t ) , the actual output trajectory is Oc ( t ) , the desired input trajectory corresponding to cd ( t ) is Ord ( t ) , and the actual input is 0 , ( t ) . It is then assumed that the dynamics of the controlled robot ...
Page 268
... trajectory that corresponds to an arbitrary objective trajectory , so that an excellent initial input trajectory can be obtained for LL . Generally , we make test runs of industrial robots before shipping from factory . We can execute ...
... trajectory that corresponds to an arbitrary objective trajectory , so that an excellent initial input trajectory can be obtained for LL . Generally , we make test runs of industrial robots before shipping from factory . We can execute ...
Contents
Microassembly Microfactory | 1 |
Microassembly and Microfactory | 2 |
Process Planning | 24 |
Copyright | |
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5th IEEE International actuator applied approach Assembly and Task assembly model assembly operation assembly planning assembly process assembly sequence assembly system assembly tasks axis batch bin packing problem blocks C-space cell cleanroom components computation configuration configuration space considered contact angle cost cycle defined deflexions device disassembly sequence duo-bi environment equation equipment evaluation Figure flexible France July 10-11 genetic algorithm geometric gripper HACCP haptic holons hypergraph IEEE International Symposium integrated interface linear manipulation mechanism metaheuristic method micro micro-motor microbox microfactory motion motor node obtained optical tweezers optimal parameters path planning performance Petri net piezoelectric placement points position precedence graphs problem proposed PVDF representation Robotics and Automation rotation scheduling sensor simulation solution space sub tour subassemblies surface Symposium on Assembly Task Planning Besançon tion tolerancing torque trajectory transition V₂ virtual workstation