A Hybrid Human-in-the-Loop Deep Reinforcement Learning Method for UAV Motion Planning for Long Trajectories with Unpredictable Obstacles

A Hybrid Human-in-the-Loop Deep Reinforcement Learning Method for UAV Motion Planning for Long Trajectories with Unpredictable Obstacles

Unmanned Aerial Vehicles (UAVs) can be an important component in the Internet of Things (IoT) ecosystem due to their ability to collect and transmit data from remote and hard-to-reach areas. Ensuring collision-free navigation for these UAVs is crucial in achieving this goal. However, existing UAV co...

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Bibliographic Details
Main Authors: Sitong Zhang, Yibing Li, Fang Ye, Xiaoyu Geng, Zitao Zhou, Tuo Shi
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Drones
Subjects:
unmanned aerial vehicles
collision avoidance
global path planning
DRL-based motion planning
Online Access:https://www.mdpi.com/2504-446X/7/5/311

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