摘要：室内移动机器人有着广泛的应用前景，是机器人研究中的热点之一。
Absrtact: Indoor mobile robot has a wide range of applications which is one of the hotspots in robot research.
提出了一种采用单目视觉和多超声传感器来识别门牌号的室内移动机器人全局自定位方法和导航策略。
This paper proposes a global self-localization method and navigation strategies for indoor mobile robot, based on monocular vision and multi-sonar sensors to recognize the doorplate.
针对室内移动机器人导航问题，提出一种包括全局规划层、局部路径优化层、反应式导航控制层的导航策略。
A strategy based on global planning layer, local path optimizing layer and reactive navigation controlling layer is presented for indoor mobile robot navigation.
这种定位和规划方法模仿了盲人在熟悉环境下用拐杖走路的过程，适于室内移动机器人的实时定位和运动规划。
This method imitates the blindman's motion manner in known environment with crutch , and can be used for indoor mobile robot.
本文最后给出了一种移动机器人室内导航方法。
Finally, a navigation method for mobile robots is described.
面向大规模室内环境，研究了基于全向视觉的移动机器人自定位。
Towards large-scale indoor environment, a novel metric-topological 3D map is proposed for robot self- localization based on omnidirectional vision.
本文主要针对室内自主式移动机器人开发及其室内环境障碍物识别和同时定位与地图创建问题开展研究工作。
This thesis focuses on the development of an indoor autonomous mobile robot, obstacle recognition and SLAM (Simultaneous Localization and Mapping) problems for indoor mobile robot.
本文主要针对室内自主式移动机器人开发及其室内环境障碍物识别和同时定位与地图创建问题开展研究工作。
This thesis focuses on the development of an indoor autonomous mobile robot, obstacle recognition and SLAM (Simultaneous Localization and Mapping) problems for indoor mobile robot.
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