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Emergency situations in large public and residential buildings, earthquake, fire, flood, terrorist attacks, cause extreme physical and emotional behaviours, inter alia, anxiety, hyperactivity, anger, etc.; in these situations, people are often unable to take the right action or even unable to make a decision. This paper addresses the problem of generating a building evacuation plan with the help of...
Autonomous navigation in an unknown or uncertain environment is one of the challenging tasks for unmanned aerial vehicles (UAVs). In order to address this challenge, it is necessary to have sophisticated high level control methods that can learn and adapt themselves to changing conditions. One of the most promising frameworks for such a purpose is reinforcement learning. In this paper, a novel model-based...
Fuzzy logic controllers (FLCs) have extensively been used for the autonomous control and guidance of unmanned aerial vehicles (UAVs) due to their capability of handling uncertainties and delivering adequate control without the need for a precise, mathematical system model which is often either unavailable or highly costly to develop. Despite the fact that non-singleton FLCs (NSFLCs) have shown more...
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