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Complete coverage motion control using gradually building map

机译:使用逐渐建立的地图来完成覆盖运动控制

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In this paper, we propose a motion control algorithm for switching between three motion strategies in unknown environment using a gradually building map. It is well known that the motion control of a coverage problem based on a global map is more efficient than local information based motion control which does not use the map. When the beginning of the coverage task, the building map is insufficient, so the motion control based on the map is not so efficient. When almost end of the coverage task, the built map is expected to be almost perfect one. Our algorithm is designed with the insufficiency of the gradually building map. In the algorithm, the robot selects one of three motion strategies depending on completeness of the map. The strategies include local motion control based on local sensing, wall following control to get environmental information and global motion control based on the built map. The robot selects mainly local motion control at an early stage. As time goes on, a global motion control using the reliable map is more selected automatically. The efficiency of the coverage problem is discussed by comparing the proposed method with a control method only by local information. Some simulations and experiments using the algorithm are shown in the paper.
机译:在本文中,我们提出了一种运动控制算法,该算法可通过逐步构建地图在未知环境中的三种运动策略之间进行切换。众所周知,基于全局地图的覆盖问题的运动控制比不使用地图的基于局部信息的运动控制更有效。当开始覆盖任务时,建筑物地图不足,因此基于地图的运动控制不是那么有效。当覆盖任务快要结束时,预计构建的地图几乎是完美的。我们的算法是在逐步构建地图的基础上设计的。在该算法中,机器人根据地图的完整性选择三种运动策略之一。这些策略包括基于局部感测的局部运动控制,获取环境信息的墙面跟踪控制以及基于构建地图的全局运动控制。机器人在早期主要选择局部运动控制。随着时间的流逝,会自动选择使用可靠地图的全局运动控制。通过将提出的方法与仅通过本地信息进行控制的方法进行比较,讨论了覆盖问题的效率。本文显示了使用该算法的一些仿真和实验。

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