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Descripción
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| This thesis proposes replacing the traditional obstacle avoidance paradigm in aerial robotics by a risk avoidance approach. In this sense, a human-inspired cognitive framework, capable of understanding the environment, has been designed and implemented. It reproduces the human perception/reasoning, which have been analyzed by means of neuropsychological andsocioantropological experimentation. Thus, using situational/contextual-dependent information, the frameworks has been able to detect and analyze the potential risks present in the scenarios as human do. Furthermore, the system developed also provides the robots with behavioural commands to avoid the risks, closing this way the loop of human awareness and situational management | |
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Internacional
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Si |
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ISBN
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Tipo de Tesis
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Doctoral |
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Calificación
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Sobresaliente cum laude |
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Fecha
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30/06/2015 |