simultaneous localization and mapping

finally, the problem of simultaneous localization and mapping ( slam) for mobile robot navigation is introduced, the main problems that are stumbling blocks in the research of slam are pointed out, and the further research directions of slam are discussed.

最后，对移动机器人导航研究中的同时定位与地图创建（SLAM）问题作了阐述，指出SLAM研究面临的问题，探讨了SLAM的未来研究方向。

互联网摘选

a method of robot simultaneous localization and mapping based on particle filter and probability grid maps using laser range data is proposed, and a program is also designed for this method.

提出了一种利用激光测距仪的采集数据，基于粒子滤波和概率栅格地图的移动机器人同时定位与地图创建方法，并编制了相应的程序。

互联网摘选

feature-based mobile robot simultaneous localization and mapping ( slam) is an open problem in the field of robotics.

基于环境特征的移动机器人即时定位与地图创建是机器人领域的开放性课题。

互联网摘选

multi-robot active simultaneous localization and mapping based on local submap approach

基于局部子地图方法的多机器人主动同时定位与地图创建

互联网摘选

research on particle swarm optimized fast simultaneous localization and mapping

粒子群优化的快速同时定位与建图方法研究

互联网摘选

a particle swarm optimized simultaneous localization and mapping ( slam) approach is presented, which integrates particle swarm optimization ( pso) into the slam.

提出一种粒子群优化的同时定位与建图方法，该方法将粒子群优化思想引入到机器人同时定位与建图算法中。

互联网摘选

simultaneous localization and mapping ( slam) is one of the fundamental problems that need to be solved before achieving truly autonomous vehicles.

要想使移动机器人完全实现自主，必须要解决的一个基础的问题是同步定位与地图构建（SLAM）。

互联网摘选

the trajectory planning in the simultaneous localization and mapping ( slam) problem is investigated.

研究了移动机器人同步定位与地图构建（SLAM）过程中的轨迹规划问题。

互联网摘选

aiming at the system control variables with colored-noise condition, an algorithm of control colored-noise simultaneous localization and mapping ( ccn-slam) is proposed.

针对系统控制量为有色噪声的情况，提出一种控制有色噪声同步定位与地图创建（CCN-SLAM）算法。

互联网摘选

simultaneous localization and mapping ( slam) is a necessary prerequisite to make robot autonomous, which is a harder research topic than localizing or mapping.

同时定位与建图（SLAM）是智能机器人实现真正自治的必要前提，是一个比单独研究定位或者建图更加困难的课题。

互联网摘选

simultaneous localization and mapping for robot under colored measurement noise

有色量测噪声下机器人同步定位与地图构建

互联网摘选

simultaneous localization and mapping ( slam) is a process of sensing, estimating self-location and state, and charting a map of the unknown surroundings.

同时定位与地图创建是指在未知环境下，通过传感器测量周围环境数据，逐渐估计自身位置和运动状况，并且估计和描绘周围环境地图的过程。

互联网摘选

simultaneous localization and mapping ( slam) is a core problem in mobile robotics. a really autonomous robot has to be able to localize itself in an unknown environment using its onboard sensors.

移动机器人的同步定位与地图创建（SLAM）是移动机器人领域的核心问题，也是移动机器人实现真正自主运行的重要条件之一。

互联网摘选

simultaneous localization and mapping ( slam) technology of service robot in family environment is the advanced and key issue of robot navigation technologies. it is also one of the basic research issues of the home service robot.

家庭服务机器人的同步定位和地图构建（SLAM）技术是机器人导航技术的前沿与关键问题，也是服务机器人研究的基础内容之一。

互联网摘选

with the environments getting more and more complex and unstructured, the mobile robot simultaneous localization and mapping ( slam) in unknown environments has been considered to be an important and fundamental problem in the mobile robotics research domain.

随着移动机器人应用环境的日趋复杂和非结构化，探测未知环境，已经发展成为移动机器人研究领域中的一个重要研究方向和基础性难题。

互联网摘选

the simultaneous localization and mapping ( slam) problem is one of the key problems for a mobile robot to be truly autonomous in an unknown environment, and has been an important and active research topic in mobile robotics community.

移动机器人同步定位与建图（SLAM）问题是移动机器人在未知环境中实现真正自主必须解决的关键问题，是当前移动机器人学界的研究重点和热点之一。

互联网摘选