Behavior-based learning to control IR oven heating: Preliminary investigations
We formalize a behavior-based learning architecture for an autonomous agent. The IR oven tuning problem is introduced and is investigated as a real industrial application of this architecture. The algorithm we developed was shown to be very robust and was tested through simulation of different intelligent machines, including Genghis . The distinguishing feature of this learning algorithm is that the convergent property can be preserved. This is crucial for achieving the final goals of tuning.
KeywordsSolder Joint Perceptual Condition Tuning Process Feedback Function Lamp Power
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