[1]徐雪松.复杂环境中移动机器人路径规划[J].江西师范大学学报(自然科学版),2014,(01):83-88.
 XU Xue-song.The Path Planning Algorithm for Moving Robot in Complex Environment[J].,2014,(01):83-88.
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复杂环境中移动机器人路径规划()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2014年01期
页码:
83-88
栏目:
出版日期:
2014-02-28

文章信息/Info

Title:
The Path Planning Algorithm for Moving Robot in Complex Environment
作者:
徐雪松
华东交通大学电气与电子工程学院,江西南昌,330013
Author(s):
XU Xue-song
关键词:
路径规划复杂环境斥力场等势线
Keywords:
path planningcomplex environmentequipotential line of repulsion rield
分类号:
TP242
文献标志码:
A
摘要:
分析了传统人工势场法存在的缺陷,提出一种沿斥力场等势线环绕障碍物避障的移动机器人路径规划算法.仿真实验结果表明:该算法在复杂环境中路径规划方面能够获得较好的效果.
Abstract:
Analyzing the defects of APF,a new path planning algorithm which avoids obstacle by rounding obstacle along equipotential line of repulsion field is presented.Simulation shows it has better performance for path planning in complex environment.

参考文献/References:

[1] 朱大奇,颜明重.移动机器人路径规划技术综述 [J].控制与决策,2010,25(9):961-966.
[2] Avneesh S, Erik A,Sean C, et a1.Real-time path planning in dynamic virtual environment using multiagent navigation graphs [J].IEEE Trans on Visualization and Computer Graphics,2008,l4(3):526-538.
[3] Takahashi O,Schilling R J.Motion planning in a plane using generalized Voronoi diagrams [J].IEEE Trans on Robotics and Automation,1989,5(2):143-150.
[4] 许斯军,曹奇英.基于可视图的移动机器人路径规划 [J].计算机应用与软件,2011,28(3):220-222.
[5] Porta Garcia M A,Oscar M,Oscar C,etc.Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation [J].Applied Soft Computing,Elsevier,2009(9):1102-1110.
[6] Gong D W,Zhang J H,Zhang Y.Multi-objective Particle Swarm Optimization for Robot Path Planning in Environment with Danger Sources [J],Journal of Computers,2011,6(8):1554-1561.
[7] 刘传领,杨静宇.一种基于量子染色体变异的移动机器人路径规划融合算法 [J].信息与控制,2011,40(5):594-599.
[8] Khatib O.Real time obstacle avoidance for manipulators and mobile robots [J].International Journal of Robotics and Research,l986,5(1):90-98.
[9] 张殿富,刘福.基于人工势场法的路径规划方法研究及展望 [J].计算机工程与科学,2013,35(6):88-95.
[10] 罗乾又,张华等.改进人工势场法在机器人路径规划中的应用 [J].计算机工程与设计,2011,2(4):1411-1413.
[11] 于振中,闫继宏,等.改进人工势场法的移动机器人路径规划 [J],哈尔滨工业大学学报,2011,43(1):50-55.
[12] Andrew G L,Owen Y L,Brett L K,etc.Dynamical wall-following for a wheeled robot using a passive tactile sensor[C],IEEE International Conference on Robot & Automation 2005:3838-3843.
[13] Min S J,Joong H B,Yeh S H,etc.Real Time Obstacle Avoidance for Mobile Robot Using Limit-Cycle and Vector Field Method,Lecture Notes in Computer Science,Springer,2006,4251:866-873.
[14] 姚兴田,吴亮亮,马永林,等.自动3维重构中确定下—最优视点的方法研究 [J].江西师范大学学报:自然科学版,2013,37(6):574-578.

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 ZHANG Xing-guo,ZHOU Dong-jian,LI Cheng-hao.The Optimal Path Planning for Mobile Robot Based on Ant Colony Algorithm Combined with Particle Swarm Optimization[J].,2014,(01):274.

备注/Memo

备注/Memo:
国家自然科学基金(61165005,51167005);江西省教育厅科技研究课题(GJJ11436)
更新日期/Last Update: 1900-01-01