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Paper presents a novel idea of failure detection mechanism for complex control environments. The mechanism is composed of several dynamic artificial neural networks that work in parallel in order to detect a failing signal from one of the on-board robot sensors. The simulation results show that the system is capable of detecting a failing control system quickly and efficiently.
In our investigation we focus on the A* Algorithm, for solving path-finding problems, because it is fairly flexible and can be used in a wide range of contexts. The main problem of A* Algorithm is the finite computer memory. Using this method, the robot can decide how to move from end to end point in an efficient manner without colliding with previously mapped obstacles. When in need of finding a...
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