Mbaitiga Zacharie

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Problem statement: The purpose of any robotic is to perform tasks that a human would prefer not to do or hopefully do it with precision in order to avoid mistakes or when a human is out of duty due to fatigue or health reasons. The research into human detection into images has paid the way be aware of what is going on around the houses or buildings where a(More)
This study describes the Adaptive Resonance Theory 1 (ART1), an efficient algorithm that emulates the self-organizing pattern recognition and hypothesis testing properties of the ART neural network architecture for horizontal and vertical classification of 0-9 digits recognition. In our approach the ART1 model can self-organize in real time producing stable(More)
This paper discusses the combination of adaptive resonance theory (ART-1) and advanced logistic belief neural network for controlling robot arms grasping objects. In order for the robot manipulator, end-effectors keep its stability at any given movement; the derivation and maximization of the logarithm-like hood function of the learning rule of the logistic(More)
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