## ProceedingsIEEE Computer Society Press, 2003 - Artificial intelligence |

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Page 101

The first criterion can be

counting all values in the binary mapped projected images , which are equal to 1

. This means the size of the area for all possible translational movements .

The first criterion can be

**computed**very fast . The second criterion is**computed**bycounting all values in the binary mapped projected images , which are equal to 1

. This means the size of the area for all possible translational movements .

Page 250

A system state can be defined in : a force space ( i . e . , the mechanical system is

subjected to force BCs ) so , the “ system answer " will be found in the

configuration space ( a geometric shape will be

space ( i . e .

A system state can be defined in : a force space ( i . e . , the mechanical system is

subjected to force BCs ) so , the “ system answer " will be found in the

configuration space ( a geometric shape will be

**computed**) ; a configurationspace ( i . e .

Page 256

Using these values , Figure 7 shows the estimated population of partially free l -

cells

probabilities

...

Using these values , Figure 7 shows the estimated population of partially free l -

cells

**computed**using equation ( 4 ) , and Figure 8 shows the estimated selectionprobabilities

**computed**using equation ( 5 ) . Then , the number of iterations must...

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### Contents

Microassembly Microfactory | 1 |

Microassembly and Microfactory | 2 |

Scheduling | 16 |

Copyright | |

7 other sections not shown

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### Common terms and phrases

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