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Autonomous mobile robot navigation is a very relevant problem in robotics research. This paper proposes a vision-based autonomous navigation system using artificial neural networks (ANN) and finite state machines (FSM). In the first step, ANNs are used to process the image frames taken from the robot's camera, classifying the space, resulting in navigable or non-navigable areas (image road segmentation)...
Evolutionary algorithms are very common techniques used in computational intelligence and robotics field applications. Some algorithms need a large amount of memory and processing power, making them difficult to implement into embedded systems. In this work a profile-based approach is proposed and applied in an evolutionary algorithm with some characteristics that allow it's use on embedded systems...
Evolutionary algorithms are a very common technique on computational intelligence field. Some algorithms need a huge amount of memory, making them not so trivial to apply on embedded systems. In this work a profile-based approach is proposed and applied in an evolutionary algorithm with some characteristics that allow its use on embedded systems: the micro-GA. The main goal is to improve the execution...
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