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This paper comprises the algorithmic design and simulation of an autonomous navigation system for a differentialdrive mobile robot composed of 4 Mamdami-based fuzzy controllers. To do so, Matlab and the mobile robots simulator Sim.I.am were used. For the control design, each of the behaviors or controllers were modularly designed and tested following a reactive architecture. Subsequently, they were...
This paper comprises the algorithmic design and simulation of an autonomous navigation system for a differential-drive mobile robot composed of 4 neural controllers using an intelligent control technique: neural networks. To do so, Matlab and the mobile robots simulator Sim.I.am were used. For the control design, each of the behaviors or controllers were modularly designed and tested following a reactive...
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