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The process parameters of high precision robotic assembly have to be tuned in order to deal with part variations and system uncertainties. Some methods such as design-of-experiment, artificial neural network and genetic algorithms have been proposed to optimize these parameters offline. However, these parameters have to be retuned for different batches due to part variations, which increases the production...
In the high precision robotic assembly processes, the process parameters have to be tuned in order to adapt to variations and satisfy the performance requirements. For complex systems and processes operating in a stochastic environment such as the assembly processes, experiments and evaluations could be costly and low efficiency because of resource utilization, energy consumption, and dedicated labor...
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