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Page 90
When soft constraints like clusters of components or early realisations for some
tasks are used, several precedence graphs are required and the proposed
method does not apply. 1 Introduction Most works dedicated to Assembly Line ...
When soft constraints like clusters of components or early realisations for some
tasks are used, several precedence graphs are required and the proposed
method does not apply. 1 Introduction Most works dedicated to Assembly Line ...
Page 135
3 A Parallel Hybrid M etaheuristic System The stochastic search optimization
methods are very effective tools for the combinatorial problems like SMSP.
Iterative procedures like Genetic Algorithms, Tabu Search, Simulated Annealing,
and ...
3 A Parallel Hybrid M etaheuristic System The stochastic search optimization
methods are very effective tools for the combinatorial problems like SMSP.
Iterative procedures like Genetic Algorithms, Tabu Search, Simulated Annealing,
and ...
Page 264
The learning control method consists of two processes: Global Learning (GL) and
Local Learning (LL). GL estimates the dynamics of a robot control system and
obtains a learning gain matrix used in LL. LL decreases the tracking errors by ...
The learning control method consists of two processes: Global Learning (GL) and
Local Learning (LL). GL estimates the dynamics of a robot control system and
obtains a learning gain matrix used in LL. LL decreases the tracking errors by ...
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Contents
Microassembly Microfactory | 1 |
Microassembly and Microfactory | 2 |
Process Planning | 24 |
Copyright | |
7 other sections not shown
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Common terms and phrases
actuator applied approach Assembly and Task assembly model assembly operation assembly planning assembly process assembly sequence assembly system assembly tasks axis B-spline batch blocks C-space cell cleanroom components computation configuration configuration space considered contact angle cost cycle defined deflexions developed device disassembly sequence duo-bi environment equation equipment evaluation Figure flexible genetic algorithm geometric gripper HACCP haptic heuristic holons hypergraph IEEE International Symposium industrial industrial robot integrated interface linear manipulation mechanism metaheuristic method micro micro-motor microfactory motion node obtained optical tweezers optimal paper parameters path planning performance Petri nets piezoelectric placement position precedence graphs problem Proc proposed PVDF representation represented Robotics and Automation rotation scheduling sensor simulation solution space sub tour sub-bins subassemblies surface Symposium on Assembly Task Planning Besancon Technology tion tolerancing torque trajectory transition virtual voxels workstation
Bibliographic information
| Title | Proceedings |
| Author | IEEE International Symposium on Assembly and Task Planning |
| Contributors | IEEE Robotics and Automation Society, IEEE Xplore (Online service) |
| Publisher | IEEE Computer Society Press |
| Original from | the University of Michigan |
| Digitized | 11 Jan 2008 |
| Export Citation | BiBTeX EndNote RefMan |