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Path planning and guidance techniques for an autonomous mobile cleaning robot

机译:自主移动清洁机器人的路径规划和引导技术

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In the past mobile robot research was often focused to various kinds of point-to-point transportation tasks. Service tasks, such as floor cleaning, require specific approaches for path planning and vehicle guidance in real indoor environments. This article discusses automatic planning of a feasible cleaning path considering a 2D-map as well as kinematic and geometric robot models. Path construction makes use of two typical motion patterns. Each pattern is defined by a sequence of subgoals indicating robot position and orientation. Results of automatic path planning are illustrated by realistic examples of typical robots and cleaning environments. Vehicle guidance includes initialization of robot location, path execution, accurate path tracking and detection of unexpected environmental changes. Path tracking is achieved by subgoal modification during cleaning motion using data from the dead-reckoning and landmark localization systems. If obstacles permanently block the preplanned path, an automatic map update and path replanning is performed. Experimental results with the mobile robot MACROBE confirm the feasibility of the developed planning and guidance system.
机译:过去,移动机器人的研究通常集中于各种点对点运输任务。诸如地板清洁之类的服务任务需要在实际室内环境中进行路径规划和车辆引导的特定方法。本文讨论了考虑2D地图以及运动学和几何机器人模型的可行清洁路径的自动规划。路径构造使用两种典型的运动模式。每个模式由指示机器人位置和方向的一系列子目标定义。典型机器人和清洁环境的实际示例说明了自动路径规划的结果。车辆导航包括机器人位置的初始化,路径执行,精确的路径跟踪以及意外环境变化的检测。通过使用死区复归和界标定位系统中的数据在清洁运动期间通过子目标修改来实现路径跟踪。如果障碍物永久阻碍了预定路线,则将执行自动地图更新和路线重新规划。移动机器人MACROBE的实验结果证实了开发的计划和指导系统的可行性。

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