Multi-quadrotor Cooperative Area Coverage Mission Planning Based on DQN

被引：0

作者：

Dong, Jiaxin ^{[1
]}

Li, Xinde ^{[1
]}

Liu, Yihai ^{[2
]}

机构：

[1] Southeast Univ, Sch Automat, Key Lab Measurement & Control CSE, Minist Educ, Nanjing 210096, Peoples R China

[2] Jiangsu Automat Res Inst, Lianyungang 222007, Peoples R China

来源：

2020 5TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2020) | 2020年

关键词：

D O I：

10.1109/icarm49381.2020.9195360

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper studies the construction and area division of multi-quadrotor collaborative area coverage mission planning environment model. The deep Q-network(DQN) algorithm is applied to multi-quadrotor area coverage mission planning problem, and a DQN-based multi-quadrotor area coverage mission planning method is proposed. The method has the advantages of good coverage effect, high execution efficiency, reusability and strong practicability.

引用

页码：672 / 677

页数：6

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