SHAO Jie, YANG Jingyu, SHI Chaoxia. Autonomous Land Vehicle Path Planning Based on Learning Classifier System in Narrow Environments[J]. INFORMATION AND CONTROL, 2011, 40(3): 413-417.
Citation: SHAO Jie, YANG Jingyu, SHI Chaoxia. Autonomous Land Vehicle Path Planning Based on Learning Classifier System in Narrow Environments[J]. INFORMATION AND CONTROL, 2011, 40(3): 413-417.

Autonomous Land Vehicle Path Planning Based on Learning Classifier System in Narrow Environments

More Information
  • Received Date: March 27, 2010
  • Revised Date: November 28, 2010
  • Published Date: June 19, 2011
  • A collision avoidance path planning method based on LCS(learning classifier system) is present,and an integrated fitness function to solve ALV's(autonomous land vehicle) path optimization problem is designed in the narrow environment under safe collision avoidance.Different environment simulation results show that ALV's path planning is convergent by combining genetic algorithms and learning classifier system,and ALV's capabilities of quickly finding the secure path in the narrow environments is improved.
  • [1]
    李庆中,顾伟康,叶秀清.基于遗传算法的移动机器人动态避障路径规划方法[J].模式识别与人工智能,2002,15(6):161-166.Li Q Z,Gu W K,Ye X Q.G-cnetic path planning and dynamic obstacle avoidance for mobile robots[J].Pattern Recognition and Artificial Intelligence,2002,15(6):161-166.
    [2]
    孟伟,黄庆成,韩学东,等.一种动态未知环境中自主机器人的导航方法[J].计算机研究与发展,2005,42(9):1538-1543.Meng W,Huang Q C,Han X D,et al.Method of autonomous robot navigation in dynamic unknown environment[J].Journal of Computer Research and Development,2005,42(9):1538-1543.
    [3]
    Masouri M,Aliyari S M,Teshnehlab M.Integer GA for mobile robot path planning with using another GA as repairing function[C]//Proceedings of the IEEE International Conference on Automation and Logistics.Piscataway,NJ,USA:IEEE,2008:135-140.
    [4]
    孟偲,王田苗.一种移动机器人全局最优路径规划算法[J].机器人,2008,30(3):217-222.Meng C,Wang T M.A global optimal path planning algorithm for mobile robot[J].Robot,2008,30(3):217-222.
    [5]
    Gao Y,Sun S D.A collision based local path planning of mobile robot[C]//Proceedings of the 2009 International Asia Conference on Informatics in Control,Automation and Robots.Piscataway,NJ,USA:IEEE,2009:185-190.
    [6]
    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):97-106.Qu D K,Du Z J,Xu D G,et al.Research on path planning for a mobile robot[J].Robot,2008,30(2):97-106.
    [7]
    Holland J H.A mathematical frame work for studying learning in classifier systems[M].New York,USA:ACM,1976:307-317.
    [8]
    Musilek P,Li S,Wyard-Scott L.Enhanced learning classifier system for robot navigation[C]//2005 IEEF/RSJ International Conference on Intelligent Robots and Systems.Piscataway,USA:IEEE,2005:3390-3395.
    [9]
    Larry B,Mattew S,Anthony B,et al.Learning classifier system ensembles with rule-sharing[J].IEEE Transactions on Evolutionary Computation,2007,11(4):496-502.
    [10]
    Baneamoon S M,Salam R A.Applying steady state in genetic algorithm for robot behaviors[C]//2008 International Conference on Electronic Design.Piscataway,NJ,USA:IEEE,2008:930-934.
    [11]
    Baneamoon S M,Salam R A.Bucket brigade algorithm enhancement for robot behavior[C]//International Conference on Robotics Vision,Information and Signal Processing.Piscataway,NJ,USA:IEEE,2007:930-934.
  • Related Articles

    [1]GE Zhi-hao, XU Hao-jun. ANN Model for Pilot Based on Optimal Control and Simulation Analysis[J]. INFORMATION AND CONTROL, 2004, 33(6): 698-702.
    [2]ZHAO Huai-ci, HUANG Sha-bai. MODELING AND SIMULATION OF COMPLEX SYSTEM BASED ON MULTI-AGENT[J]. INFORMATION AND CONTROL, 2003, 32(3): 198-203.
    [3]XUAN Hui-yu, GAO Bao-jun, LI Qun, FENG Ping. A MULTI-AGENT ECONOMY SIMULATION MODEL BASED ON DISCRETE EVENTS SIMULATION[J]. INFORMATION AND CONTROL, 2002, 31(1): 84-88.
    [4]LIN Hui-ping, FAN Yu-shun, WU Cheng. RESEARCH ON WORKFLOW SIMULATION TECHNOLOGY FOR BUSINESS PROCESS REENGINEERING[J]. INFORMATION AND CONTROL, 2001, 30(1): 11-15.
    [5]XUAN Huiyu, WANG Lijuan. APPLICATION OF INVERSE SIMULATION IN QUEUING SYSTEM WITH UNCONTROLLABLE ARRIVING[J]. INFORMATION AND CONTROL, 1999, 28(4): 305-310.
    [6]WU Jing, ZENG Jianchao, SUN Guoji. DYNAMIC SIMULATION METHODOLOGY OF INDUSTRIAL PROCESSES FOR OPERATOR TRAINING SIMULATOR[J]. INFORMATION AND CONTROL, 1997, 26(3): 221-226,233.
    [7]BAI Fangzhou, CHEN Yuan, BAO Zhonggui. A QSIM-BASED GENERAL QUALITATIVE SIMULATION SYSTEM(GQSS)[J]. INFORMATION AND CONTROL, 1996, 25(1): 49-57.
    [8]BAI Fangzhou, HUO Xin, BAO Zhonggui. QUALITATIVE REASONING FOR DYNAMIC SYSTEM:MODELING AND SIMULATION[J]. INFORMATION AND CONTROL, 1995, 24(4): 222-229.
    [9]XIONG Guanleng, GAO Hong. SIMULATION ENVIRONMENT FOR RULE-BASED JOB SHOP SCHEDULING[J]. INFORMATION AND CONTROL, 1994, 23(4): 193-199.
    [10]WANG Dingwei, XU Changguo. A SIMULATION STUDY ON PRODUCTION/INVENTORY CONTROL STRATEGIES[J]. INFORMATION AND CONTROL, 1994, 23(3): 154-159.

Catalog

    Article views PDF downloads Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return