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
收藏
页码：672 / 677
页数：6
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