Efficient Focus Autoencoders for Fast Autonomous Flight in Intricate Wild Scenarios

Efficient Focus Autoencoders for Fast Autonomous Flight in Intricate Wild Scenarios

The autonomous navigation of aerial robots in unknown and complex outdoor environments is a challenging problem that typically requires planners to generate collision-free trajectories based on human expert rules for fast navigation. Presently, aerial robots suffer from high latency in acquiring env...

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Bibliographic Details
Main Authors: Kaiyu Hu, Huanlin Li, Jiafan Zhuang, Zhifeng Hao, Zhun Fan
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Drones
Subjects:
deep reinforcement learning
soft actor–critic
focus autoencoder
unmanned aerial vehicle
autonomous navigation
Online Access:https://www.mdpi.com/2504-446X/7/10/609

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