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一种基于滚动窗口的AGV动态路径规划算法 被引量:1

AGV's Dynamic Path Planning Algorithm Based on Rolling Windows
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摘要 AGV是一种无人驾驶搬运车,是智能型移动机器人的一种。路径规划技术是AGV技术研究中的一个重要领域。在多AGV协调作业时,需要研究AGV动态路径规划问题。由于AGV运行时需要很高的实时性和安全性,本文采用了基于滚动优化窗口的路径规划方法。在当前滚动窗口中,提出了一种针对AGV特点的动态路径优化算法。最后,通过仿真证明了该方法的有效性。 Automated guided vehicle(AGV) is a nobody-driven vehicle,which is one of the intellectualized mobile robot.The path planning is one of important techniques in the AGV research.It is necessary to study the problem of dynamic path planning when several AGV work at the same time.The method of rolling plan is opted because of the high real-time and safety that the AGV needed.In the AGV's current view,a new method of local path planning is proposed based on AGV's peculiarity.At last,the algorithm's validity is proved by MATLAB simulation.
出处 《安庆师范学院学报(自然科学版)》 2011年第2期43-47,共5页 Journal of Anqing Teachers College(Natural Science Edition)
关键词 AGV 动态路径规划 滚动规划 优化 仿真 AGV dynamic path planning rolling plan optimization simulation
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参考文献5

  • 1Dunkin Ann. An introduction of automated guide vehicle system[ J]. Industrial Engineering, 1994,8: 47 -51.
  • 2张纯刚,席裕庚.动态未知环境中移动机器人的滚动路径规划及安全性分析[J].控制理论与应用,2003,20(1):37-44. 被引量:31
  • 3Fierro R, Lewis F L. Control of a nonholonomic mobile robot using neural networks [ J ]. IEEE Trans on Neural Networks. 1998,4:589-600.
  • 4Podsedkowski Leszek, Nowakowski, Jacek. A new solution for path planning in partially known or unknown environment for nonholonomic mobile robots. Robotics and Autonomous Systems. 2001, 34(2 -3) : 145 -152.
  • 5Pratihar Dilip kumar, Deb Kalyanmoy, Ghosh Amitabha. A genetic -fuzzy approach for mobile robot navigation among moving obstacles [ J ]. International Journal of Approximate Reasoning. 1999, 20(2) : 145 - 172.

二级参考文献14

  • 1张纯刚,席裕庚.Robot path planning in globally unknown environments based on rolling windows[J].Science China(Technological Sciences),2001,44(2):131-139. 被引量:12
  • 2REIF J, SHARIR M. Motion planning in the presence of moving obstacles [ A]. Proc of the 26 th IEEE Conf on Foundations of Computer Science [ C]. Washington, DC: IEEE Computer Society Press, 1985,144- 154.
  • 3CANNY J, REIF J. New lower bound techniques for robot motion planning problems [ A]. Proc of the 28th IEEE Conf on Foundations of Computer Science [C]. Washington, DC: IEEE Computer Society Press, 1987,49 - 60.
  • 4KANT K, ZUCKER S W. Toward efficient trajectory planning: the path-velocity decomposition [J]. Int J of Robotics Research, 1986, 5(3) :72 - 89.
  • 5ERDMANN M, LOZANO-PEREZ T. On multiple moving objects[J]. Algorithmica, 1987,2(4) :477 - 521.
  • 6FUJIMURA K, SAMET H. Time-minimal paths among moving obstacles [A]. Proc of IEEE Conf on Robotics and Automation [C].Washington, DC:IEEE Computer Society Press, 1989, 1110- 1115.
  • 7CHANG T Y, KUO S W, HSU J Y J. A two-phase navigation system for mobile robots in dynamic environments [ A]. Proc of IEEE/RSJ Int Conf on Intelligent Robots and Systems ( IROS '94) [C]. Piscataway, NJ: IEEE Service Center, 1994,306-313.
  • 8LEE P S, WANG L L. Collision avoidance by fuzzy logic control for automated guided vehicle navigation [ J ]. J of Robotic Systems,1994, 11 (8) :743 - 760
  • 9JING X, ZBIGNIEW M, LIXIN Z, et al. Adaptive evolutionary planner/navigator for mobile robots [ J]. IEEE Trans on Evolutionary Computation ,1997 ,1 (1): 18-28.
  • 10LUO R C, CHEN T M. Multiagent system with event driven control for autonomous mobile robot navigation [A]. Proc of IEEE Int Conf on Robotics and Automation [C]. Piscataway, NJ: IEEE Service Center, 1998,964 - 969.

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