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In this paper, we present a robotic model-based reinforcement learning method that combines ideas from model identification and model predictive control. We use a feature-based representation of the dynamics that allows the dynamics model to be fitted with a simple least squares procedure, and the features are identified from a high-level specification of(More)
One lidless CPU product failed more than 20% of visual inspections due to foreign material near the capacitor electrodes during testing production. This paper presents the analysis method for the foreign material, formation mechanism of dendrites, verification experiment by DOE, root cause for this case, and corrective solutions.
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