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Computer Engineering and Applications,2019,55(17): 娄柯，副教授，博士，主要研究方 35-43 向为多智能体协同控制、嵌入式系统 [13]黄琰，李岩，俞建成，等.AUV智能化现状与发展趋 及应用。主持及参与国家、省部级科 势).机器人，2020,42(2：215-231. 学基金项目10余项。发表学术论文 HUANG Yan,LI Yan,YU Jiancheng,et al.State-of-the- 20余篇。 art and development trends of AUV intelligence[J].Ro- bot2020,42(2):215-231. [14]江明，王飞，葛愿，等.基于改进蚁群算法的移动机器人 李志锟，硕士研究生，主要研究方 路径规划研究).仪器仪表学报，2019,40(2)：113-121 向为移动机器人路径规划技术、移动 JIANG Ming,WANG Fei,GE Yuan,et al.Research on 机器人地图构建技术、智能算法。 path planning of mobile robot based on improved ant colony algorithm[J].Chinese journal of scientific instru- ment,2019,40(2):113-121 [15]CAO Jingang.Robot global path planning based on anHE Qiang, HU Xiangtao, REN Hong, et al. A novel artifi￾cial fish swarm algorithm for solving large-scale reliabil￾ity-redundancy application problem[J]. ISA transactions, 2015, 59: 105–113. [5] WU Tao, JING Xiaojun. Exploration of multiple access in￾terference suppression based on multi-user detection[J]. 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Journal of computer and communications, 2016, 4(2): 11–19. 徐玉琼, 娄柯, 李婷婷, 等. 改进自适应蚁群算法的移动 机器人路径规划 [J]. 电子测量与仪器学报, 2019, 33(10): 89–95. XU Yuqiong, LOU Ke, LI Tingting, et al. Path planning of mobile robot based on improved adaptive ant colony algorithm[J]. Journal of electronic measurement and in￾strumentation, 2019, 33(10): 89–95. [16] AJEIL F H, IBRAHEEM I K, AZAR A T, et al. Grid￾based mobile robot path planning using aging-based ant colony optimization algorithm in static and dynamic en￾vironments[J]. Sensors, 2020, 20(7): 1880. [17] 杨俊成, 李淑霞, 蔡增玉. 路径规划算法的研究与发 展 [J]. 控制工程, 2017, 24(7): 1473–1480. YANG Juncheng, LI Shuxia, CAI Zengyu. Research and development of path planning algorithm[J]. Control en￾gineering of China, 2017, 24(7): 1473–1480. [18] 王培良, 张婷, 肖英杰. 蚁群元胞优化算法在人群疏散 路径规划中的应用 [J]. 物理学报, 2020, 69(8): 234–242. WANG Peiliang, ZHANG Ting, XIAO Yingjie. Applica￾tion research of ant colony cellular optimization al￾gorithm in population evacuation path planning[J]. Acta physica sinica, 2020, 69(8): 234–242. [19] 万方, 周风余, 尹磊, 等. 基于电势场法的移动机器人全 局路径规划算法 [J]. 机器人, 2019, 41(6): 742–750. WAN Fang, ZHOU Fengyu, YIN Lei, et al. Global path planning algorithm of mobile robot based on electric po￾tential field[J]. Robot, 2019, 41(6): 742–750. [20] 作者简介： 徐玉琼，硕士研究生，主要研究方 向为移动机器人路径规划技术、图像 处理。 娄柯，副教授，博士，主要研究方 向为多智能体协同控制、嵌入式系统 及应用。主持及参与国家、省部级科 学基金项目 10 余项。发表学术论文 20 余篇。 李志锟，硕士研究生，主要研究方 向为移动机器人路径规划技术、移动 机器人地图构建技术、智能算法。 第 2 期 徐玉琼，等：基于变步长蚁群算法的移动机器人路径规划 ·337·