Artificial Intelligence Approaches To UCAV Autonomy
نویسندگان
چکیده
This paper covers a number of approaches that leverage Artificial Intelligence algorithms and techniques to aid Unmanned Combat Aerial Vehicle (UCAV) autonomy. An analysis of current approaches to autonomous control is provided followed by an exploration of how these techniques can be extended and enriched with AI techniques including Artificial Neural Networks (ANN), Ensembling and Reinforcement Learning (RL) to evolve control strategies for UCAVs.
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عنوان ژورنال:
- CoRR
دوره abs/1701.07103 شماره
صفحات -
تاریخ انتشار 2017