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Dynamically Feasible Trajectory Generation With Optimization-Embedded Networks for Autonomous Flight
Abstract: This paper aims to bridge perception and planning in navigation systems by learning optimal trajectories from depth information in an end-to-end fashion. However, using neural networks as ...
Abstract: This article presents an adaptive control framework for dynamically reconfigurable battery (DRB) systems based on the deep reinforcement learning method. The proposed adaptive control ...
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