Journal of System Simulation ›› 2023, Vol. 35 ›› Issue (8): 1726-1736.doi: 10.16182/j.issn1004731x.joss.22-0412
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Laiyi Yang1(), Jing Bi1(
), Haitao Yuan2
Received:
2022-04-26
Revised:
2022-10-08
Online:
2023-08-25
Published:
2023-08-15
Laiyi Yang, Jing Bi, Haitao Yuan. Intelligent Path Planning for Mobile Robots Based on SAC Algorithm[J]. Journal of System Simulation, 2023, 35(8): 1726-1736.
1 |
朱大奇, 颜明重. 移动机器人路径规划技术综述[J]. 控制与决策, 2010, 25(7): 961-967.
|
|
|
2 |
黄晓冬, 苑海涛, 毕敬, 等. 基于DQN的海战场舰船路径规划及仿真[J]. 系统仿真学报, 2021, 33(10): 2440-2448.
|
|
|
3 |
|
4 |
张捍东, 郑睿, 岑豫皖. 移动机器人路径规划技术的现状与展望[J]. 系统仿真学报, 2005, 17(2): 439-443.
|
|
|
5 |
|
6 |
|
7 |
|
8 |
邓学强. 基于改进人工势场法的移动机器人路径规划[J]. 山东理工大学学报(自然科学版), 2014, 28(1): 38-41.
|
|
|
9 |
|
10 |
|
11 |
乔俊飞, 侯占军, 阮晓钢. 基于神经网络的强化学习在避障中的应用[J]. 清华大学学报(自然科学版), 2008, 48(增2): 1747-1750.
|
|
|
12 |
刘建伟, 高峰, 罗雄麟. 基于值函数和策略梯度的深度强化学习综述[J]. 计算机学报, 2019, 42(6): 1406-1438.
|
|
|
13 |
|
14 |
|
15 |
|
16 |
陶重犇, 雷祝兵, 李春光, 等. 基于改进模拟退火算法的搬运机器人路径规划[J]. 计算机测量与控制, 2018, 26(7): 182-185.
|
|
|
17 |
|
18 |
蒙盾, 胡卓, 张华军. 基于改进A*算法的多层邮轮疏散系统仿真[J]. 系统仿真学报, 2022, 34(6): 1375-1382.
|
|
|
19 |
徐力, 刘云华, 王启富. 自适应遗传算法在机器人路径规划的应用[J]. 计算机工程与应用, 2020, 56(18): 36-41.
|
|
|
20 |
|
21 |
|
22 |
|
23 |
罗阳阳, 彭晓燕. 基于改进PSO的四轮移动机器人全局路径规划[J]. 计算机仿真, 2020, 37(7): 373-379.
|
|
|
24 |
|
25 |
|
26 |
|
27 |
|
28 |
|
29 |
|
30 |
|
31 |
|
32 |
|
33 |
|
34 |
|
35 |
何柳柳, 杨羊, 李征, 等. 面向持续集成测试优化的强化学习奖励机制[J]. 软件学报, 2019, 30(5): 1438-1449.
|
|
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