引用本文:苑晶,黄亚楼,孙凤池.基于陆标动态配置的移动机器人主动探索[J].控制理论与应用,2009,26(4):0.[点击复制]
YUAN Jing,HUANG Ya-lou,SUN Feng-chi.Mobile robot active exploration based on dynamic deployment of landmarks[J].Control Theory and Technology,2009,26(4):0.[点击复制]
基于陆标动态配置的移动机器人主动探索
Mobile robot active exploration based on dynamic deployment of landmarks
摘要点击 1174  全文点击 691  投稿时间:2008-01-08  修订日期:2009-11-03
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DOI编号  
  2009,26(4):0-0
中文关键词  陆标配置, 主动探索, 扩展的卡尔曼滤波器, 多目标优化
英文关键词  Landmark deployment, active exploration, extended Kalman filter, multi-objective optimization
基金项目  国家自然科学基金,国家高新技术研究发展计划
作者单位E-mail
苑晶* 南开大学自动化系 nkyuanjing@gmail.com 
黄亚楼 南开大学软件学院  
孙凤池 南开大学软件学院  
中文摘要
      针对无预置陆标的环境, 研究移动机器人动态在线配置陆标问题及基于此的主动探索. 首先, 提出陆标动态配置准则, 并分析陆标配置对机器人定位与建图的影响;然后基于扩展的卡尔曼滤波器, 将机器人的主动探索转化为多目标最优控制问题, 优化目标包含三个部分, 分别对应定位与建图的准确性、机器人预期探索的新区域大小和陆标配置对定位与建图的影响, 机器人选取最优化目标函数的控制输入以实现准确的定位、建图和对环境的充分探索;最后对陆标进行有效的增补和去冗余. 仿真结果表明该方法的有效性.
英文摘要
      The on-line dynamic deployment of landmarks and the active exploration in environment without pre-placed landmarks are investigated. The rules for landmark deployment are proposed and the effect of the deployed landmarks is analyzed. Based on the extended Kalman filter (EKF), the active exploration is converted into a problem of multi-objective optimal control, in which the objective function includes three parts, i.e., the accuracy of localization and mapping, the predictive area of the unknown environment that will be explored and the information gain provided by the deployed landmarks. The robot chooses the optimal control inputs such that the accurate map building and the complete exploration can be realized. And then, the supplementation and the redundancy elimination for landmarks are implemented. At last, the simulation is presented to show the effectiveness of our approach.