The problem on navigation and collision avoidance for autonomous mobile robots in a dynamic environment is studied.
研究移动机器人在动态环境中的导航与避障问题。
Mobile sensor network is a distributed sensor networks which is composed of many autonomous mobile robots with sensors.
移动感知网是一个由许多带有传感器的自主移动机器人组成的分布式传感器网络。
It is a key technology how to improve the ability of autonomous mobile robots to process simultaneous information from sensors.
如何提高自主式移动机器人对各种传感器信息的并发处理能力是一个关键技术问题。
This paper systematically analyses and studies the localization approaches for autonomous mobile robots navigation and mainly on the probability based localization approaches.
本文对自主移动机器人导航中的定位方法进行了系统的研究和分析，重点研究了自主移动机器人基于概率的定位方法。
At the present day, most of navigation systems of autonomous mobile robots are controlled by computer and the main navigation tools are optical sensors and so it is very complex and the cost is high.
目前，绝大部分自主式移动机器人的导航系统都是以计算机为控制核心、以视觉传感器为主要导航工具实现的，这样就使得整个系统实现的复杂程度和费用很高。
Teleoperation control system of autonomous mobile robot was established to solve the incomplete autonomy level of the mobile robots in some specific circumstances.
为了解决移动机器人在特定环境下自主性不强的问题，构建了自主移动机器人的遥操作控制系统。
Taking target search with swarm robots for instance, we explore an approach to control swarm whose members are autonomous wheeled mobile robots with non-holonomic constraints.
以目标搜索定位任务为背景，用扩展微粒群算法对具有非完整运动约束特性的自主移动轮式机器人组成的群机器人系统实施协调控制。
Taking target search with swarm robots for instance, we explore an approach to control swarm whose members are autonomous wheeled mobile robots with non-holonomic constraints.
以目标搜索定位任务为背景，用扩展微粒群算法对具有非完整运动约束特性的自主移动轮式机器人组成的群机器人系统实施协调控制。
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