机器人与机构设计 |
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基于跳点搜索-遗传算法的自主移动机器人路径规划 |
田雅琴( ),胡梦辉,刘文涛,侯寅智 |
太原科技大学 机械工程学院,山西 太原 030024 |
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Path planning of autonomous mobile robot based on jump point search-genetic algorithm |
Yaqin TIAN( ),Menghui HU,Wentao LIU,Yinzhi HOU |
School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China |
引用本文:
田雅琴,胡梦辉,刘文涛,侯寅智. 基于跳点搜索-遗传算法的自主移动机器人路径规划[J]. 工程设计学报, 2023, 30(6): 697-706.
Yaqin TIAN,Menghui HU,Wentao LIU,Yinzhi HOU. Path planning of autonomous mobile robot based on jump point search-genetic algorithm[J]. Chinese Journal of Engineering Design, 2023, 30(6): 697-706.
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https://www.zjujournals.com/gcsjxb/CN/10.3785/j.issn.1006-754X.2023.03.136
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https://www.zjujournals.com/gcsjxb/CN/Y2023/V30/I6/697
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1 |
王雷,李明. 改进自适应遗传算法在移动机器人路径规划中的应用[J]. 南京理工大学学报: 自然科学版, 2017, 41(5): 627-633. doi:10.14177/j.cnki.32-1397n.2017.41.05.015 WANG L, LI M. Application of improved adaptive genetic algorithm in mobile robot path planning [J]. Journal of Nanjing University of Science and Technology: Natural Science Edition, 2017, 41(5): 627-633.
doi: 10.14177/j.cnki.32-1397n.2017.41.05.015
|
2 |
王雷,李明,唐敦兵,等. 基于改进遗传算法的机器人动态路径规划[J]. 南京航空航天大学学报, 2016, 48(6): 841-846. doi:10.16356/j.1005-2615.2016.06.010 WANG L, LI M, TANG D B, et al. Dynamic path planning for mobile robot based on improved genetic algorithm [J]. Journal of Nanjing University of Aeronautics and Astronautics, 2016, 48(6): 841-846.
doi: 10.16356/j.1005-2615.2016.06.010
|
3 |
王涛,喻韬. 一种基于遗传模拟退火算法的通信卫星资源规划方法[J]. 无线电工程, 2021, 51(8): 767-772. doi:10.3969/j.issn.1003-3106.2021.08.015 WANG T, YU T. A communication satellite resource planning method based on genetic simulated annealing algorithm [J]. Radio Engineering, 2021, 51(8): 767-772.
doi: 10.3969/j.issn.1003-3106.2021.08.015
|
4 |
LI Y H, HUANG Z H, XIE Y. Research status of mobile robot path planning based on genetic algorithm [J]. Journal of Physics Conference Series, 2020, 1544(1): 012021.
|
5 |
杨恒,李越,孙寒挺,等. 路径最优的移动机器人路径规划研究[J]. 机械设计, 2022, 39(8): 58-67. YANG H, LI Y, SUN H T, et al. Research on path planning of mobile robot with optimal path [J]. Mechanical Design, 2022, 39(8): 58-67.
|
6 |
CHEN Z Q, ZHOU J H, SUN R Z, et al. A new evolving mechanism of genetic algorithm for multi-constraint intelligent camera path planning[J]. Soft Computing, 2021, 25(27): 1-20.
|
7 |
鲁婷婷,冯彦翔,闫振龙. 一种健康管理机器人协同任务分配方法[J]. 无线电工程, 2022, 52(7): 1276-1283. doi:10.3969/j.issn.1003-3106.2022.07.022 LU T T, FENG Y X, YAN Z L. A cooperative task allocation method for health management robots[J]. Radio Engineering, 2022, 52(7): 1276-1283.
doi: 10.3969/j.issn.1003-3106.2022.07.022
|
8 |
黄维,刘惟伊,刘志恩,等. 基于多目标遗传算法的实验目标车底盘结构优化[J]. 工程设计学报, 2021, 28(1): 80-88. doi:10.3785/j.issn.1006-754X.2021.00.012 HUANG W, LIU W Y, LIU Z E, et al. Structural optimization of experimental target vehicle chassis based on multi-objective genetic algorithm [J]. Journal of Engineering Design, 2021, 28(1): 80-88.
doi: 10.3785/j.issn.1006-754X.2021.00.012
|
9 |
董炫良,赵桂清. 人工势场引导蚁群算法的机器人导航路径规划[J]. 机械设计与制造, 2021(6): 169-173. doi:10.3969/j.issn.1001-3997.2021.06.039 DONG X L, ZHAO G Q. Robot navigation path planning based on ant colony algorithm guided by artificial potential field [J]. Mechanical Design and Manufacturing, 2021(6): 169-173.
doi: 10.3969/j.issn.1001-3997.2021.06.039
|
10 |
孙鹏耀,黄炎焱,潘尧. 基于改进势场法的移动机器人路径规划[J]. 兵工学报, 2020, 41(10): 2106-2121. doi:10.3969/j.issn.1000-1093.2020.10.021 SUN P Y, HUANG Y Y, PAN Y. Path planning of mobile robots based on improved potential field algorithm[J]. Journal of Military Industry, 2020, 41(10): 2106-2121.
doi: 10.3969/j.issn.1000-1093.2020.10.021
|
11 |
CHEN X A, GAO P J. Path planning and control of soccer robot based on genetic algorithm [J]. Journal of Ambient Intelligence and Humanized Computing, 2019, 11(12):1-10.
|
12 |
成彬,景冰雪. 基于细菌觅食和蚁群算法的工艺路线优化[J]. 工程设计学报, 2020, 27(5) :600-607, 624. doi:10.3785/j.issn.1006-754X.2020.00.073 CHENG B, JING B X. Process route optimization based on bacterial foraging and ant colony algorithm [J]. Journal of Engineering Design, 2020, 27(5): 600-607, 624.
doi: 10.3785/j.issn.1006-754X.2020.00.073
|
13 |
刘二辉,姚锡凡. 基于改进遗传算法的自动导引小车路径规划及其实现平台[J]. 计算机集成制造系统, 2017, 23(3): 465-472. doi:10.13196/j.cims.2017.03.003 LIU E H, YAO X F. AGV path planning based on improved genetic algorithm and implementation platform [J]. Computer Integrated Manufacturing System, 2017, 23(3): 465-472.
doi: 10.13196/j.cims.2017.03.003
|
14 |
ZHOU K J, YU L L, LONG Z W, et al. Local path planning of driverless car navigation based on jump point search method under urban environment [J]. Future Internet, 2017, 9(3): 51-51.
|
15 |
张许有,刘有余. 基于位置代价A*算法的机械臂避障路径规划[J]. 机械设计, 2021, 38(2): 108-113. ZHANG X Y, LIU Y Y. Path planning of obstacle avoidance for manipulators based on position cost A* algorithm [J]. Mechanical Design, 2021, 38(2): 108-113.
|
16 |
杨博,刘树东,鲁维佳,等. 改进遗传算法在机器人路径规划中的应用[J]. 现代制造工程, 2022(6): 9-16. YANG B, LIU S D, LU W J, et al. Application of improved genetic algorithm in robot path planning [J]. Modern Manufacturing Engineering, 2022, 6: 9-16.
|
17 |
陈亮,姚懿轩. 基于AGA-WOA算法融合的移动机器人路径规划[J]. 今日制造与升级, 2021, 12: 41-43. CHEN L, YAO Y X. Path planning of mobile robot based on AGA-WOA algorithm fusion[J]. Manufacturing and upgrading today, 2021, 12: 41-43.
|
18 |
徐兴,俞旭阳,赵芸,等. 基于改进遗传算法的移动机器人全局路径规划[J]. 计算机集成制造系统, 2022, 6: 1659-1672. doi:10.13196/j.cims.2022.06.006 XU X, YU X Y, ZHAO Y, et al. Global path planning of mobile robot based on improved genetic algorithm [J]. Computer Integrated Manufacturing System, 2022, 6: 1659-1672.
doi: 10.13196/j.cims.2022.06.006
|
19 |
ZHOU L F, YANG L N, FANG H. Lunar rover path planning based on comprehensive genetic algorithm based on slip prediction[J]. Journal of Physics: Conference Series, 2019, 1267.
|
20 |
王强,姚进,王进戈. 基于遗传算法的移动机器人的一种路径规划方法[J]. 哈尔滨工业大学学报, 2004, 36(7): 867-870. doi:10.3321/j.issn:0367-6234.2004.07.007 WANG Q, YAO J, WANG J G. A path planning approach to moving robot based on genetic algorithms[J]. Journal of Harbin Institute of Technology, 2004,36(7): 867-870.
doi: 10.3321/j.issn:0367-6234.2004.07.007
|
21 |
黄智榜,胡立坤,张宇,等. 基于改进跳点搜索策略的安全路径研究[J]. 计算机工程与应用, 2021, 57(1): 56-61. HUANG Z B, HU L K, ZHANG Y, et al. Research on security path based on improved hop search strategy [J]. Computer Engineering and Application, 2021, 57(1): 56-61.
|
22 |
马新国,马希青. 融合改进RRT和Dijkstra算法的机器人动态路径规划[J]. 组合机床与自动化加工技术, 2023, 2: 5-9. MA X G, MA X Q. Robot path planning based on improved RRT and Dijkstra approach [J]. Combined Machine Tool and Automated Processing Technology, 2023, 2: 5-9.
|
23 |
谢冲冲,李莹. 基于改进算法的移动机器人路径规划[J]. 重庆大学学报, 2021, 45(12): 140-148. doi:10.11835/j.issn.1000-582X.2021.12.012 XIE C C, LI Y. Path planning of mobile robots based on improved algorithm [J]. Journal of Chongqing University, 2021, 45(12): 140-148.
doi: 10.11835/j.issn.1000-582X.2021.12.012
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