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At the present time, industrial robots for assembly tasks only constitute a small portion of the annual robot sales. One of the main reasons is that it is difficult for conventional industrial robots to adapt to the complicity and flexibility of assembly processes. Therefore, intelligent industrial robotic systems are attracting more and more attention. However, because of the modeling difficulty...
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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