Simultaneous sensing of location and mapping for autonomous robots

被引：8
|
作者：
Bloss, Richard
机构：
来源：
SENSOR REVIEW | 2008年 / 28卷 / 02期
关键词：
maps; robotics; sensors;
D O I：
10.1108/02602280810856651
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
Purpose - To describe an innovative new technology, simultaneous localization and mapping (SLAM), for creating maps and localization for autonomous robot operations. Design/methodology/approach - A series of stereo cameras gather images of a 3D area. A software package then analyzes the images to create a 3D map of the area and to monitor the real-time location of the robot in the area. Findings - The SLAM approach will open up the range of possible autonomous mobile robot applications, especially service and non-industrial applications. Practical implications - The scalable SLAM system and algorithms will enable improved performance in current as well as new mobile autonomous robot applications. Originality/value - Users now have a totally new means for creating "maps" for autonomous mobile robotic activities.
引用
收藏
页码：102 / 107
页数：6
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