Descripción
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Deliberative capabilities are essential for intelligent aerial robotic applications in modern life such as package delivery and surveillance. This paper presents a real-time 3D path planning solution for multirotor aerial robots to obtain a feasible, optimal and collision-free path in complex dynamic environments. High-level geometric primitives are employed to compactly represent the situation, which includes self-situation of the robot and situation of the obstacles in the environment. A probabilistic graph is utilized to sample the admissible space without taking into account the existing obstacles. Whenever a planning query is received, the generated probabilistic graph is then explored by an A? discrete search algorithm with an artificial field map as cost function in order to obtain a raw optimal collision-free path, which is subsequently shortened. Realistic simulations in V-REP simulator have been created to validate the proposed path planning solution, integrating it into a fully autonomous multirotor aerial robotic system. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Journal of Intelligent & Robotic Systems |
ISSN
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0921-0296 |
Factor de impacto JCR
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2,259 |
Información de impacto
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Volumen
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93 |
DOI
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10.1007/s10846-018-0809-5 |
Número de revista
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Desde la página
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33 |
Hasta la página
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53 |
Mes
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FEBRERO |
Ranking
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