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Design and implementation of path planning for cleaning robot

机译:清洁机器人路径规划的设计与实现

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The design of the main use of lightweight car to complete the cleaning robot path planning in reality, detection by infrared detection head, can be self completed indoor cleaning line. The robot through the infrared probe sensing the environment information, the establishment of the coverage map of the environment, and in the process of movement on the map update. On the other hand, in order to ensure the complete coverage of all areas at the same time, reduce the duplication of coverage, improve work efficiency, this paper puts forward square, saw form covering algorithm and spiral coverage algorithm, the three algorithms do not need complicated mathematical calculation, to ensure the real time of the algorithm, which reduces the memory requirements, at the same time, the algorithm does not make the entire search space and avoid the defects of the traditional grid algorithm as the space enlarges the real-time rapid decline. This topic is in this context, research on the path to cover more ground area is more important. Cleaning robot path planning there are many difficulties in application and design, such as low coverage, high repetition rate, so that the work efficiency is not high, so the subject has practical significance.
机译:设计的主要用途采用轻型轿车完成清洁机器人路径规划现实,通过红外检测头检测,可以自成的室内清洁线。机器人通过红外探测感测环境信息,建立环境的覆盖地图,以及在地图上的移动过程中。另一方面,为了确保所有领域的完全覆盖同时,减少覆盖的重复,提高工作效率,本文提出正方形,锯形覆盖算法和螺旋覆盖算法,三种算法不需要复杂的数学计算,以确保算法的实时,这减少了内存要求,同时不制作整个搜索空间,避免传统网格算法的缺陷,因为空间放大了真实的空间时间迅速下降。本主题在这种情况下,对覆盖更多地区的路径的研究更为重要。清洁机器人路径规划在应用和设计方面存在许多困难,如低覆盖率,高重复率,使工作效率不高,因此主题具有实际意义。

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