期刊文献+

未知环境下的移动机器人主动寻径导航策略

Mobile robot active path planning in unknown environment
下载PDF
导出
摘要 针对纯粹反应式的导航算法有时会出现没有远见现象的问题,设计了一种基于行为和路径子目标的主动寻径导航策略。该策略首先利用目标点和远距离传感器的信息生成可行路径子目标点,接着使用决策树实现快速的行为决策。仿真结果证明了有效性。 The purely reactive navigation algorithms may result in a shortsighted phenomenon. So, an active path planning strategy based on the behavior and intermediate goal for mobile robot was produced. The information about the global goal and the long- range sensory data are used to produce an intermediate goal, and then the behavior decision tree is presented for navigation control. Simulation results are provided to demonstrate the feasibility of the proposed method.
出处 《杭州电子科技大学学报(自然科学版)》 2008年第6期99-102,共4页 Journal of Hangzhou Dianzi University:Natural Sciences
基金 国家自然科学基金资助项目(60675043) 浙江省科技计划资助项目(C21051)
关键词 子目标 行为 自主导航 intermediate goal behavior autonomous navigation
  • 相关文献

参考文献10

  • 1Canny J F, Lin M C. An Opportunistic Global Path Planner[C]. Cincinnati: Proceedings of 1990 IEEE International Conference on Robotics and Automation, 1990:1554- 1561.
  • 2Sabe K, Fukuchi M, Gutmann J - S. Obstacle Avoidance and Path Planning for Humanoid Robots using Stereo Vision[C]. New Crleans: Proceedings of the 2004 IEEE International Conference on Robots & Automation, 2004: 592 - 597.
  • 3Sugeno M, Nishida M. Fuzzy control of a model car[J]. Fuzzy Sets Syst. 1985, 16(2) : 103 - 113.
  • 4Doitsodis L, Valavanis K, Tsourveloudis N. Fuzzy logic based autonomous skid steering vehicle navigation[J]. Robotics and Automation, 2002, 2(1) : 2171 - 2177.
  • 5Yang X, Moallem M, Patel R V. An improved fuzzy logic based navigation system for mobile Robots[J]. Intelligent Robots and Systems, 2003, 2(3):1709-1714.
  • 6Tan K K, Tan K C, Tang K Z. Evolutionary tuning of a fuzzy dispatching system for automated guided vehicles[J]. IEEE Trans Syst, 2000,30(5) :632 - 636.
  • 7Lee S I, Wang S B. Emergemt behaviors of a fuzzy sensory motor controller evolved by genetic algorithm[J]. IEEE Trans Syst, 2001, 31(2) :919- 929.
  • 8Tsourveloudis N, Valavanis K, Hebert T. Autonomous vehicle navigation utilizing electrostatic potential fields and fuzzy logic[J]. IEEE Trans Robot, 2001,8(3):9- 17.
  • 9Ye C, Yung C, Wang D. A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance[J]. IEEE. Trans Syst, 2003, 33(1) :17 - 27.
  • 10仲朝亮,刘士荣,吕强.RobSim:一种多移动机器人仿真系统[C].昆明:昆明理工大学,2007:481-485.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部