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Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.11.068
Abstract: We address the safe-navigation problem for aerial robots in the presence of mobile obstacles. Our approach relies on an original dynamic model defined in a cylindrical-coordinate space. It is assumed that the environment contains moving…
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Keywords:
navigation moving;
uav navigation;
moving obstacle;
barrier lyapunov ... See more keywords
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Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.2973193
Abstract: Unmanned aerial vehicles (UAVs) have the potential in delivering Internet-of-Things (IoT) services from a great height, creating an airborne domain of the IoT. In this article, we address the problem of autonomous UAV navigation in…
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Keywords:
reinforcement learning;
uav navigation;
deep reinforcement;
navigation ... See more keywords
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Published in 2019 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2019.2924951
Abstract: Unmanned aerial vehicle (UAV) has been widely used in various fields, which mainly relies on global navigation satellite system (GNSS) to obtain position information. However, fast-moving jamming poses a big challenge for UAV navigation. This…
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Keywords:
minimum dispersion;
uav navigation;
dispersion distortionless;
fast moving ... See more keywords
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3
Published in 2023 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3218855
Abstract: This paper is concerned with the problem of using deep reinforcement learning methods to enable safe navigation of UAVs in unknown large-scale environments containing a large number of obstacles. The ability of UAV to navigate…
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Keywords:
uav navigation;
navigation approach;
reinforcement learning;
deep reinforcement ... See more keywords