1. 福州大学至诚学院计算机工程系
2. 华南理工大学土木与交通学院
纸质出版:2024
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冯新, 杨雄, 曾豫豪. 多场景下基于IGJO-DWA算法的机器人路径规划[J]. 传感器与微系统, 2024,(11):131-134+138.
冯新, 杨雄, 曾豫豪. 多场景下基于IGJO-DWA算法的机器人路径规划[J]. 传感器与微系统, 2024,(11):131-134+138. DOI: 10.13873/J.1000-9787(2024)11-0131-04.
为解决传统算法在多场景下存在的搜索效率低、适应力差、动态性不足等问题,提出一种融合改进金豺优化算法(IGJO)和动态窗口法(DWA)的路径规划方法。首先,在GJO算法局部寻优阶段,引入自适应权重策略,从而防止算法陷入局部最优。同时,采用逐维逆向学习机制,解决多维优化过程中各维之间的相互干扰以及全局和局部搜索不平衡问题。其次,在DWA算法中引入一种速度动态调整策略,并对其评价函数进行优化,从而提升路径的安全性。仿真结果表明:在多种不同场景下,IGJO-DWA算法在路径长度、规划成功率、行驶时长等方面均优于其他算法。实验结果表明:IGJO-DWA算法能够帮助机器人成功绕过各类型障碍物,确保机器人安全到达目的地,验证了算法的有效性。
李俊萩,刘博文,张晴晖,强振平.结合改进YOLOv8n及SLAM的机器人自主巡检控制系统研究[J].传感器与微系统,2024(08).
倪建云,杜合磊,谷海青,李浩,吴杰,薛晨阳.改进人工势场法的移动机器人路径规划研究[J].重庆理工大学学报(自然科学),2023(11).
Miyombo Ernest Miyombo,Yong kuo Liu,Chishinga Milton Mulenga,Anthony Siamulonga,Martin Chihango Kabanda,Phillimon Shaba,Chunli Xi,Abiodun Ayodeji.Optimal path planning in a real-world radioactive environment: A comparative study of A-star and Dijkstra algorithms[J].Nuclear Engineering and Design,2024.
Xianchen Meng,Xi Fang.A UGV Path Planning Algorithm Based on Improved A* with Improved Artificial Potential Field[J].Electronics,2024.
Zhangfang Hu, Xingyuan Wang, Junhao Zhang.Research on Dynamic Obstacle Avoidance Method of Mobile Robot based on Improved A* Algorithm and Dynamic Window Method[J].Engineering Letters,2024.
Haitao Gao,Xiaozhu Hou,Jiangpeng Xu,Banggui Guan.Quad-Rotor Unmanned Aerial Vehicle Path Planning Based on the Target Bias Extension and Dynamic Step Size RRT* Algorithm[J].World Electric Vehicle Journal,2024.
Xiaojie Tang,Yuanlin Li.Research on path planning of self-driving vehicles based on improved DWA algorithm[J].Applied Mathematics and Nonlinear Sciences,2024.
Sun Ru,Yang Ting.Hybrid parameter-based PSO flexible needle percutaneous puncture path planning[J].The Journal of Supercomputing,2023.
Yifan Ding,Xiaodong Du,Changrui Wang,Wei Tian,Chao Deng,Ke Li,Zihang Wang.Path Planning for Conformal Antenna Surface Detection Based on Improved Genetic Algorithm[J].Applied Sciences,2023.
Wenshan Wang,Guoyin Zhang,Qingan Da,Dan Lu,Yingnan Zhao,Sizhao Li,Dapeng Lang.Multiple Unmanned Aerial Vehicle Autonomous Path Planning Algorithm Based on Whale-Inspired Deep Q-Network[J].Drones,2023.
Zhang Qian,Ning Xucheng,Li Yingying,Pan Lei,Gao Rui,Zhang Liyang.Path planning of patrol robot based on modified grey wolf optimizer[J].Robotica,2023.
Wu Zhengtian,Dai Jinyu,Jiang Baoping,Karimi Hamid Reza.Robot path planning based on artificial potential field with deterministic annealing.[J].ISA transactions,2023.
Lu Shichang,Liu Danyang,Li Dan,Shao Xulun.Enhanced Teaching–Learning-Based Optimization Algorithm for the Mobile Robot Path Planning Problem[J].Applied Sciences,2023.
Chopra Nitish,Mohsin Ansari Muhammad.Golden jackal optimization: A novel nature-inspired optimizer for engineering applications[J].Expert Systems With Applications,2022.
Huang Jingyao,Wu Huihui.Mobile Robot Path Planning Based on Improved Coyote Optimization Algorithm[J].Mathematical Problems in Engineering,2022.
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