项目名称: 未知环境中移动机器人探索式路径规划方法研究
项目编号: No.61503043
项目类型: 青年科学基金项目
立项/批准年度: 2016
项目学科: 自动化技术、计算机技术
项目作者: 高扬
作者单位: 长安大学
项目金额: 22万元
中文摘要: 未知环境中,如何以最优方式到达目标是移动机器人面临的现实问题。路径规划是解决该问题的核心,而获取足够的环境信息则是进行有效路径规划的关键。因此,未知环境中的最优路径应综合考虑定位、绘图的影响,考虑探索环境地图未知部分的需求。.本项目首先研究路径与定位、绘图间的影响机理,建立基于熵的定位、绘图影响评价模型,探索路径分布规律,基于环境特征建立对地图未知部分的分区评价模型,从而形成对最优路径的评价模型,解决未知环境中最优路径的评价标准问题。其次,将未知环境中最优路径视为受地图、定位、运动影响而变化的状态量,基于粒子滤波提出一种探索式路径规划方法,将路径规划问题转化为对状态的最优估计问题,从而以路径规划指导环境探索,并反馈支持路径规划,从而解决未知环境中难以获取足够环境信息的问题。.项目成果将为解决未知环境中移动机器人导航问题提供一种新思路,并为相关领域研究提供有益参考。
中文关键词: 路径规划;粒子滤波;环境探索;绘图;定位
英文摘要: In unknown environments, reaching the destination in an optimal way is a practical problem confronting mobile robot. Path planning is the core issue of searching optimal path, while getting required environment information is the critical problem of path planning. So, an optimal path in unknown environment should consider more factors than it needs in known one, such as the influence of mapping, localization, and the environmental exploration task should be covered as well. .By considering the influence among path, mapping and localization at the same time, an evaluating model based on entropy is first proposed in this project. With the study of the distribution law of path, an evaluating model for the unknown part of the environment will be established, which would be segmented according to some key characters recognized from the environmental map. So, the evaluating model of the optimal path can then be established based on the two models. .Then, the global optimal path is treated as a changing state variable which is affected by the motion of the robot, the localization of the robot and the map of the environment. The path planning is also transferred to an estimating problem. For this new problem, an exploratory path planning method based on particle filter would be put forward. Finally, the environmental exploration could be guided by the path planning result, and the path planning could be carried out based on the result of exploration..Generally, this project proposed a new approach to improve the performance of mobile robot in unknown environment and it will advance relevant research of mobile robot greatly.
英文关键词: Path Planning;Particle Filter;Exploration of Envronment ;Mapping;Localization