Paper Info
Title
Simultaneous localization and mapping (SLAM) for indoor autonomous mobile robot navigation in wireless sensor networks
Abstract
Recently, considerable attention has been focused on the investigation of the use of wireless sensor networks (WSN) to drive mobile robot for efficient exploration in unknown environments. The process of navigation depends heavily on estimating the position of the features provided by sensor within the entire environment. This paper proposes a novel navigation algorithm based on RF wireless sensor networks to simultaneous localization and mapping (SLAM) for an indoor autonomous mobile robot. Triangulation localization method is employed to make the robot locates itself and knows its pose. A simple yet efficient two-step particle filter is applied for map building. Simulation and experimental results show that good localization can be achieved using the proposed method.
Year
DOI
Venue
2010
10.1109/ICNSC.2010.5461525
ICNSC
Keywords
Field
DocType
particle filtering (numerical methods),simultaneous localization and mapping,mobile robots,indoor autonomous mobile robot,particle filter,slam (robots),wireless sensor networks,triangulation localization method,robot navigation,radio navigation,mobile robot,wireless sensor network,mobile computing,robot kinematics,particle filters
Key distribution in wireless sensor networks,Computer vision,Computer science,Particle filter,Robot kinematics,Control engineering,Artificial intelligence,Mobile robot navigation,Simultaneous localization and mapping,Robot,Wireless sensor network,Mobile robot
Conference
Volume
Issue
ISBN
null
null
978-1-4244-6450-0
Citations 
PageRank 
References 
4
0.45
7
Authors
5
Name
Order
Citations
PageRank
Xinkai Kuai1154.33
Kehu Yang2142.47
Siyao Fu310314.95
Rui Zheng410616.04
Guosheng Yang514017.42