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A Type-2 Fuzzy logic controller adapted with quantum genetic algorithm, referred to as type-2 quantum fuzzy logic controller (T2QFLC), is presented in this article for robot manipulators with unstructured dynamical uncertainties. Quantum genetic algorithm is employed to tune type-2 fuzzy sets and rule sets simultaneously for effective design of interval type-2 FLCs. Traditional fuzzy logic controllers...
In this paper, we propose self-organization algorithm of spiking neural network (SNN) applicable to autonomous robot. We also examine the relation between neural dynamics in SNN and the robot behavior. First, we formulated a SNN model whose inputs and outputs were analog. Next, we implemented it into a miniature mobile robot Khepera. In order to see whether or not a solution(s) for the given task(s)...
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