[1]夏琳琳,张健沛,初妍.计算智能在移动机器人路径规划中的应用综述[J].智能系统学报,2011,6(2):160-165.
XIA Linlin,ZHANG Jianpei,CHU Yan.An application survey on computational intelligence for path planning of mobile robots[J].CAAI Transactions on Intelligent Systems,2011,6(2):160-165.
点击复制
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
6
期数:
2011年第2期
页码:
160-165
栏目:
综述
出版日期:
2011-04-25
- Title:
-
An application survey on computational intelligence for path planning of mobile robots
- 文章编号:
-
1673-4785(2011)02-0160-06
- 作者:
-
夏琳琳1,2,张健沛1,初妍1
-
1.哈尔滨工程大学 计算机科学与技术学院,黑龙江 哈尔滨 150001;
2.东北电力大学 自动化工程学院,吉林 吉林 132012
- Author(s):
-
XIA Linlin1,2, ZHANG Jianpei1, CHU Yan1
-
1.College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China;
2.School of Automation Engineering, Northeast Dianli University, Jilin 132012, China
-
- 关键词:
-
计算智能; 路径规划; 模糊逻辑; 人工神经网络; 遗传算法
- Keywords:
-
computational intelligence; path planning; fuzzy logic; artificial neural network; genetic algorithm
- 分类号:
-
TP18
- 文献标志码:
-
A
- 摘要:
-
移动机器人路径规划是建立在机器人定位与避障研究之上,进一步对机器人行为的深入.在给出人工神经网络(ANN)、模糊逻辑(FL)、遗传算法(GA)等计算智能原理性方法的基础上,从一般意义讨论了各类计算智能方法用于路径规划的切入点,研究了各类算法的实现机理与设计思想.最后结合目前的技术发展趋势,对路径规划问题未来可能的研究发展方向进行了探讨.
- Abstract:
-
Path planning focuses on further behavior control, which is based upon the positioning and obstacle avoidance capabilities of mobile robots. The theoretical descriptions of some computational intelligence methods, including artificial neural networks (ANN), fuzzy logic (FL), and genetic algorithms (GA), were presented in sequence, and the joint between each solution and path planning method was analyzed in a general sense. Moreover, the realization principles and design schemes of these strategies were researched elaborately. Eventually, considering the evolution trend, the possible future direction of path planning was also discussed.
更新日期/Last Update:
2011-05-19