首页> 外文会议>Saint Petersburg International Conference on Integrated Navigation Systems; 20040524-26; Saint Petersburg(RU) >OPTIMALITY-EMERGING OF MOBILE ROBOT'S PLANNING AND NAVIGATING WITH EC FOR REPEATED TASKS UNDER UNKNOWN ENVIRONMENTS
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OPTIMALITY-EMERGING OF MOBILE ROBOT'S PLANNING AND NAVIGATING WITH EC FOR REPEATED TASKS UNDER UNKNOWN ENVIRONMENTS

机译:未知环境下针对重复任务的移动机器人的计划和导航优化

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摘要

If a mobile robot repeatedly traverses in an unknown and large enough environment between predefined start and goal points, more and more optimal routes are needed. This paper describes a method for repeated path planning under unknown environments. Evolutionary computation is employed for robot to plan a more optimal route by means of emerging behavior of it. The experiments for emerging navigation are conducted using a robot AmigoBOT manufactured by ActivMedia Robotics, LLC., and it is showed that the method present in this paper is efficient and practicable.
机译:如果移动机器人在预定义的起点和目标之间的未知且足够大的环境中反复遍历,则需要越来越多的最佳路线。本文介绍了一种在未知环境下进行重复路径规划的方法。进化计算用于机器人通过其新出现的行为来计划一条更优化的路线。新兴导航的实验是使用ActivMedia Robotics,LLC。制造的机器人AmigoBOT进行的,结果表明本文提出的方法是有效且实用的。

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