[1]曲道奎, 杜振军, 徐殿国, 等. 移动机器人路径规划方法研究[J]. 机器人, 2008, 30(2):97-101.
QU Daokui, DU Zhenjun, XU Dianguo, et al. Research on Path Planning for a Mobile Robot[J]. Robot, 2008, 30(2):97-101.
[2]MAC T T, COPOT C, TRAN D T, et al. A Hierarchical Global Path Planning Approach for Mobile Robots Based on Multi-objective Particle Swarm Optimization[J]. Applied Soft Computing, 2017, 59:68-76.
[3]HAN J, SEO Y. Mobile Robot Path Planning with Surrounding Point Set and Path Improvement[J]. Applied Soft Computing, 2017, 57:35-47.
[4]史恩秀, 黄玉美, 朱从民, 等. 差速驱动轮式移动机器人路径规划新策略 [J]. 中国机械工程, 2012, 23(23):2805-2809.
SHI Enxiu, HUANG Yumei, SHU Congmin,et al. A Novel Method of Planning Path for DDWMR[J]. China Mechanical Engineering, 2012, 23(23):2805-2809.
[5]HENKEL C, BUBECK A, XU W. Energy Efficient Dynamic Window Approach for Local Path Planning in Mobile Service Robotics[J]. IFAC-Papers on Line, 2016, 49(15):32-37.
[6]TRAN N, NGUYEN D T, VU D L, et al. Global Path Planning for Autonomous Robots Using Modified Visibility-graph[C]∥International Conference on Control, Automation and Information Sciences (ICCAIS). Ho Chi Minh, 2013:317-321.
[7]王殿君. 基于改进 A* 算法的室内移动机器人路径规划[J]. 清华大学学报(自然科学版), 2012, 52(8):1085-1089.
WANG Dianjun.Indoor Mobile Robot Path Planning Based on Improved A* Algorithm[J]. Journal of Tsinghua University(Science and Technology), 2012, 52(8):1085-1089.
[8]王红卫, 马勇, 谢勇, 等. 基于平滑 A*算法的移动机器人路径规划[J].同济大学学报 (自然科学版), 2010, 38(11):1647-1650.
WANG Hongwei, MA Yong, XIE Yong, et al. Mobile Robot Optimal Path Planning Based on Smoothing A* Algorithm[J]. Journal of Tongji University (Natural Science), 2010, 38(11):1647-1650.
[9]TUNCERA, YILDIRIM M. Dynamic Path Planning of Mobile Robots with Improved Genetic Algorithm[J]. Computers & Electrical Engineering, 2012, 38(6):1564-1572.
[10]ALAM M S, RAFIQUE M U. Mobile Robot Path Planning in Environments Cluttered with Non-convex Obstacles Using Particle Swarm Optimization[C]∥ International Conference on Control, Automation and Robotics (ICCAR) . Singapore, 2015:32-36.
[11]PURIAN F K, SADEGHIAN E. Mobile Robots Path Planning Using Ant Colony Optimization and Fuzzy Logic Algorithms in Unknown Dynamic Environments[C]∥International Conference on Control, Automation, Robotics and Embedded Systems (CARE). Iiitdm Jabalpur,India, 2013:1-6.
[12]KIM J J, LEE J J. Trajectory Optimization with Particle Swarm Optimization for Manipulator Motion Planning[J]. IEEE Transactions on Industrial Informatics, 2015, 11(3):620-631.
[13]卜新苹, 苏虎, 邹伟, 等. 基于复杂环境非均匀建模的蚁群路径规划[J]. 机器人, 2016, 38(3):276-284.
BU Xingping, SU Hu, ZOU Wei, et al. Ant Colony Planning Based on Non-uniform Modeling of Complex Environment[J]. Robot, 2016, 38(3):276-284.
[14]DUCHON F, BABINEC A, KAJAN M, et al. Path Planning with Modified a Star Algorithm for a Mobile Robot[J]. Procedia Engineering, 2014, 96:59-69.
[15]单伟, 孟正大. 基于改进 A* 算法的平滑路径设计[J]. 东南大学学报(自然科学版), 2010, 40(增1):155-161.
SHAN Wei, MENG Zhengda.Smoothing path Planning Based on Improved A* Algorithm[J]. Journal of Southeast University (Natural Science Edition), 2010, 40(S1):155-161.
[16]卜新苹, 苏虎, 邹伟, 等. 基于非均匀环境建模与三阶 Bezier 曲线的平滑路径规划[J]. 自动化学报, 2017, 43(5):710-724.
BU Xinping, SU Hu, ZOU Wei, et al. Smooth Path Planning Based on Non-uniformly Modeling and Cubic Bezier Curves[J]. Acta Automatica Sinica, 2017, 43(5):710-724.
[17]KAPLAN A, KINGRY N, UHING P, et al. Time-
optimal Path Planning with Power Schedules for a Solar-powered Ground Robot[J]. IEEE Transactions on Automation Science and Engineering,2017,14(2):1235-1244.
[18]朱毅, 张涛, 宋靖雁. 未知环境下势场法路径规划的局部极小问题研究[J]. 自动化学报, 2010, 36(8):1122-1130.
ZHU Yi, ZHANG Tao, SONG Jingyan. Study on the Local Minima Problem of Path Planning Using Potential Field Method in Unknown Environments[J]. Acta Automatica Sinica, 2010, 36(8):1122-1130.
[19]鲁新军, 陈焕文, 谢丽娟, 等. 机器人导航中势场局部最小的水流解决法[J]. 微计算机信息, 2009, 25(2):241-242.
LU Xinjun, CHEN Huanwen, XIE Lijuan, et al. Water Flow Inspired Local Minimum Recovery in Mobile Robot Navigation[J].Control & Automation, 2009, 25(2):241-242.
[20]徐飞. 基于改进人工势场法的机器人避障及路径规划研究[J]. 计算机科学, 2016, 43(12):293-296.
XU Fei. Research on Obstacle Avoidance and Path Planning Based on Improved Artificial Potential Field Method[J].Computer science, 2016, 43(12):293-296.
[21]TIANZHU R, RUI Z, JIE X, et al. Three-dimensional Path Planning of UAV Based on an Improved A* Algorithm[C]∥Guidance, Navigation and Control Conference (CGNCC). Nanjing, 2016:140-145.
[22]KOVCS B, SZAYER G, TAJTI F, et al. A Novel Potential Field Method for Path Planning of Mobile Robots by Adapting Animal Motion Attributes[J]. Robotics and Autonomous Systems, 2016, 82:24-34.
[23]ZHOU Zhiyu, WANG Junjie, ZHU Zefei, et al. Tangent Navigated Robot Path Planning Strategy Using Particle Swarm Optimized Artificial Potential Field[J]. Optik-International Journal for Light and Electron Optics, 2018,158:639-651.
[24]SISLI U Y, TEMELTAS H. Decentralized Formation Control of Multi Vehicles Systems with Non-Holonomic Constraints Using Artificial Potential Field[J]. IFAC Proceedings Volumes, 2008, 41(2):6815-6820.
[25]KOVCS B, SZAYER G, TAJTI F, et al. A Novel Potential Field Method for Path Planning of Mobile Robots by Adapting Animal Motion Attributes[J]. Robotics and Autonomous Systems, 2016, 82:24-34. |