UAV Path Planning and Obstacle Avoidance Based on Reinforcement Learning in 3D Environments

UAV Path Planning and Obstacle Avoidance Based on Reinforcement Learning in 3D Environments

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 efficiency and ensure the flight safety of drones. One of the applications under consideration is aquaculture cage detection; the net-cages...

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Bibliographic Details
Main Authors: Guan-Ting Tu, Jih-Gau Juang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Actuators
Subjects:
unmanned aerial vehicles
UAV
reinforcement learning
Q-learning
deep Q-learning
obstacle avoidance
Online Access:https://www.mdpi.com/2076-0825/12/2/57

Internet

https://www.mdpi.com/2076-0825/12/2/57

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