[1] 谭民,王硕.机器人技术研究进展[J].自动化学报,2013,39(7):963-972.
Tan Min,Wang Shuo.Research progress on robotics[J].Acta Automatica Sinica,2013,39(7):963-972.
[2]刘传领.基于势场法和遗传算法的机器人路径规划技术研究[D].南京:南京理工大学计算机科学与工程学院,2012.
[3]秦利超.基于扇形栅格地图的移动机器人地图创建[D].天津:天津工业大学电气工程与自动化学院,2012.
[4]郭利进,师五喜,李颖,等.基于四叉树的自适应栅格地图创建算法[J].控制与决策,2011,26(11):1690-1694.
Guo Lijin,Shi Wuxi,Li Ying,et al.Mapping algorithm using adaptive size of occupancy grids based on quadtree[J].Control and Decision,2011,26(11):1690-1694.
[5]张琦,马家辰,马立勇.基于简化可视图的环境建模方法[J].东北大学学报(自然科学版),2013,34(10):1383-1386.
Zhang Qi,Ma Jiachen,Ma Liyong.Environment modeling approach based on simplified visibility graph[J].Journal of Northeastern University(Natural Science),2013,34(10):1383-1386.
[6]Tran N,Nguyen D T,Vu D L,et al.Global path planning for autonomous robots using modified visibility-graph[C]//Proceedings of IEEE Interna-tional Conference on Control,Automation and Information Sciences.Nha Trang,Vietnam:IEEE,2013:317-321.
[7]Nguyet T T N,Hoai T V,Thi N A.Some advanced techniques in reducing time for path planning based on visibility graph[C]//Proceedings of International Conference on Knowledge & Systems Engineering.Hanoi,Vietnam:IEEE,2011:190-194.
[8]Wooden D,Egerstedt M.Oriented visibility graphs:Low-complexity planning in real-time environments[C]//Proceeding of the 2006 IEEE International Conference on Robotics and Automation.Orlando,USA:IEEE,2006:2354-2359.
[9]刘罡,刘玉斌,赵杰.基于可视切线图的未知环境建模新方法研究[J].高技术通讯,2010,20(5):505-510.
Liu Gang,Liu Yubin,Zhao Jie.Research on a new method for unknown environment modeling based on visual tangent graphs[J].High Technology Letters,2010,20(5):505-510.
[10]Xie Yang,Cheng Wushan.AGV path planning based on smoothing A* algorithm[J].International Journal of Software Engineering & Applications,2015,6(5):1-8.
[11]Nash A,Daniel K,Koenig S,et al.Theta*:Any-angle path planning on grids[J].Journal of Artificial Intelligence Research,2014,39(1):533-579.
[12]蔡炯,汪小志.基于粗糙集与遗传算法的采摘机器人路径规划[J].农机化研究,2016,38(8):189-193.
Cai Jiong,Wang Xiaozhi.Path planning of picking robot based on rough set and genetic algorithm[J].Journal of Agricultural Mechanization Research,2016,38(8):189-193.
[13]刘杰,闫清东,马越,等.基于蚁群几何优化算法的全局路径规划[J].东北大学学报(自然科学版),2015,36(7):923-928.
Liu Jie,Yan Qingdong,Ma Yue,et al.Global path planning based on improved ant colony optimization algorithm for geometry[J].Journal of Northeastern University(Natural Science),2015,36(7):923-928.
[14]赵娟平,高宪文,符秀辉.改进蚁群优化算法求解移动机器人路径规划问题[J].南京理工大学学报,2011,35(5):637-641.
Zhao Juanping,Gao Xianwen,Fu Xiuhui.Improved ant colony optimization algorithm for solving path planning problem of mobile robot[J].Journal of Nanjing University of Science and Technology,2011,35(5):637-641.
[15]Russell S,Norvig P.Artificial intelligence:A modern approach[M].3th ed.Upper Saddle River,NJ,USA:Pearson,2010:93-99.