Citation: | WANG Limin, SUN Ruifeng, ZHAI Guodong, et al. Path planning of coal mine foot robot by integrating improved A* algorithm and dynamic window approach[J]. Journal of Mine Automation,2024,50(6):112-119. doi: 10.13272/j.issn.1671-251x.2024020042 |
[1] |
涂亮杰,李林升,林国湘. 果园移动机器人的全局最优路径规划研究[J]. 南华大学学报(自然科学版),2017,31(4):71-74.
TU Liangjie,LI Linsheng,LIN Guoxiang. Orchard global optimal path planning for mobile robot research[J]. Journal of University of South China (Science and Technology),2017,31(4):71-74.
|
[2] |
张毅,杨光辉,花远红. 基于改进人工鱼群算法的机器人路径规划[J]. 控制工程,2020,27(7):1157-1163.
ZHANG Yi,YANG Guanghui,HUA Yuanhong. Robot path planning based on improved artificial fish swarm algorithm[J]. Control Engineering of China,2020,27(7):1157-1163.
|
[3] |
张正昊. 基于RRT的移动机器人路径规划算法与实验研究[D]. 南京:南京航空航天大学,2021.
ZHANG Zhenghao. Path planning algorithm for mobile robot based on RRT and its experiments[D]. Nanjing:Nanjing University of Aeronautics and Astronautics,2021.
|
[4] |
蒋仁炎,俞万能,廖卫强,等. 智能全电船的低能耗路径规划算法研究[J]. 中国造船,2021,62(2):245-254.
JIANG Renyan,YU Wanneng,LIAO Weiqiang,et al. Optimal energy consumption based path planning for intelligent all-electric ships[J]. Shipbuilding of China,2021,62(2):245-254.
|
[5] |
李航宇,郭晓利. 考虑多因素的自适应遗传算法机器人路径规划[J]. 制造业自动化,2022,44(10):76-78,95.
LI Hangyu,GUO Xiaoli. Path planning of robot based on adaptive genetic algorithm considering multiple factors[J]. Manufacturing Automation,2022,44(10):76-78,95.
|
[6] |
郝琨,张慧杰,李志圣,等. 基于改进避障策略和双优化蚁群算法的机器人路径规划[J]. 农业机械学报,2022,53(8):303-312,422.
HAO Kun,ZHANG Huijie,LI Zhisheng,et al. Path planning of mobile robot based on improved obstacle avoidance strategy and double optimization ant colony algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2022,53(8):303-312,422.
|
[7] |
王宪伦,王天宇,丁文壮. 基于改进人工势场法的机械臂路径规划[J]. 组合机床与自动化加工技术,2022(6):24-27.
WANG Xianlun,WANG Tianyu,DING Wenzhuang. Path planning algorithm of manipulator based on improved artificial potential field method[J]. Modular Machine Tool & Automatic Manufacturing Technique,2022(6):24-27.
|
[8] |
陈奕梅,沈建峰,李柄棋. 改进TEB算法的多机器人动态避障策略研究[J]. 电光与控制,2022,29(5):107-112.
CHEN Yimei,SHEN Jianfeng,LI Bingqi. On dynamic obstacle avoidance strategy for multi-robot with improved TEB algorithm[J]. Electronics Optics & Control,2022,29(5):107-112.
|
[9] |
丁皓,刘浩宇,庄逸,等. 基于四轮差速模型的多机器人路径规划[J]. 控制工程,2023,30(4):730-738.
DING Hao,LIU Haoyu,ZHUANG Yi,et al. Multi-robot path planning based on four-wheel differential speed model[J]. Control Engineering of China,2023,30(4):730-738.
|
[10] |
LI Yue,ZHAO Jianyou,CHEN Zenghua,et al. A robot path planning method based on improved genetic algorithm and improved dynamic window approach[J]. Sustainability,2023,15(5). DOI: 10.3390/su15054656.
|
[11] |
ZHOU Yuyang,WANG Dongshu. Path planning of mobile robot in complex environment based on improved Q-learning algorithm[J]. International Journal of Mechanisms and Robotic Systems,2023,5(3):223-245. doi: 10.1504/IJMRS.2023.129453
|
[12] |
张阳伟,乔越,李成凤. 基于四叉树栅格环境的变步长双向A*算法[J]. 控制工程,2021,28(10):1960-1966.
ZHANG Yangwei,QIAO Yue,LI Chengfeng. Variable step size bidirectional A* algorithm based on quadtree grid environment[J]. Control Engineering of China,2021,28(10):1960-1966.
|
[13] |
SUN Yang,WANG Haipeng. A novel A* method fusing bio-inspired algorithm for mobile robot path planning[J]. ICST Transactions on Scalable Information Systems,2018. DOI: 10.4108/eai.14-9-2021.170953.
|
[14] |
DURAKL Z,NABIYEV V. A new approach based on Bezier curves to solve path planning problems for mobile robots[J]. Journal of Computational Science,2022,58. DOI: 10.1016/j.jocs.2021.101540.
|
[15] |
XIANG Dan,LIN Hanxi,OUYANG Jian,et al. Combined improved A* and greedy algorithm for path planning of multi-objective mobile robot[J]. Scientific Reports,2022,12(1). DOI: 10.1038/s41598-022-17684-0.
|
[16] |
WANG Zelin,GAO Feng,ZHAO Yue,et al. Improved A* algorithm and model predictive control-based path planning and tracking framework for hexapod robots[J]. Industrial Robot:the International Journal of Robotics Research and Application,2023,50(1):135-144. doi: 10.1108/IR-01-2022-0028
|
[17] |
汪四新,谭功全,蒋沁,等. 基于改进A*算法的移动机器人路径规划[J]. 计算机仿真,2021,38(9):386-389,404.
WANG Sixin,TAN Gongquan,JIANG Qin,et al. Path planning for mobile robot based on improved A* algorithm[J]. Computer Simulation,2021,38(9):386-389,404.
|
[18] |
徐嘉骏,辛绍杰,邓寅喆. 基于改进A*与TEB算法融合的移动机器人路径规划[J]. 计量与测试技术,2022,49(5):26-30.
XU Jiajun,XIN Shaojie,DENG Yinzhe. Mobile robot path planning based on the fusion of improved A* and TEB algorithm[J]. Metrology & Measurement Technique,2022,49(5):26-30.
|
[19] |
YANG Hongxia,TENG Xingqiang. Mobile robot path planning based on enhanced dynamic window approach and improved A algorithm[J]. Journal of Robotics,2022. DOI: 10.1155/2022/2183229.
|
[20] |
庞永旭,袁德成. 融合改进A*与DWA算法的移动机器人路径规划[J]. 计算机与现代化,2022(1):103-107.
PANG Yongxu,YUAN Decheng. Mobile robot path planning based on fusion of improved A* and DWA algorithms[J]. Computer and Modernization,2022(1):103-107.
|
[21] |
XU Zhenyang,YUAN Wei. Mobile robot path planning based on fusion of improved A* algorithm and adaptive DWA algorithm[J]. Journal of Physics:Conference Series,2022,2330(1). DOI:10.1088/1742-6596/2330/ 1/012003.
|