In this study, path planning and obstacle avoidance based on a reinforcement learning algorithm are implemented in an unmanned aerial vehicle (UAV).
Jan 28, 2023 · This study proposes using unmanned aerial vehicles (UAVs) to carry out tasks involving path planning and obstacle avoidance, and to explore how to improve work ...
In this study, path planning and obstacle avoidance based on a reinforcement learning algorithm are implemented in an unmanned aerial vehicle. (UAV). For global ...
Jan 23, 2023 · This study proposes using unmanned aerial vehicles (UAVs) to carry out tasks involving path planning and obstacle avoidance, and to explore how to improve work ...
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A Q-learning algorithm is proposed in this work to facilitate efficient path planning for UAVs with both static and dynamic obstacle avoidance.
Path planning, in the context of UAV navigation, refers to determining the best route for the UAV to follow while avoiding obstacles and reaching its ...
Full Length Article. Deep-reinforcement-learning-based UAV autonomous navigation and collision avoidance in unknown environments.
Sep 30, 2023 · Obstacle avoidance path planning is considered an essential requirement for unmanned aerial vehicle (UAV) to reach its designated mission ...
In this paper, a multi-layer path planning algorithm based on reinforcement learning (RL) technique is proposed. Compared to the classic Q-learning, the ...
Jan 8, 2024 · We propose an autonomous local path planning algorithm based on the TD3 strategy to solve the problem of local obstacle avoidance and path ...