DocumentCode :
495992
Title :
Development of compact and light-weight LRF based positioning sensor for mobile robot localization
Author :
Kawata, Hirohiko ; Ohya, Akihisa ; Yuta, Shinich
Author_Institution :
Intell. Robot Lab., Univ. of Tsukuba, Tsukuba, Japan
fYear :
2009
fDate :
22-26 June 2009
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we describe our positioning system based ultra-compact Laser Range Finder (LRF) for mobile robot. The system consists of reflectors as landmark and a laser range finder (LRF) named ldquoPos-URGrdquo. The landmarks are randomly and sparsely placed in environment, and their position and posture are known. Pos-URG has map data which consists of pose information and relation information between each landmark, which are sorted in ascending order of distance value between each other landmarks. When the Pos-URG finds multiple number of landmarks, the set of landmarks in map which correspond the detected landmarks is searched. The searching is done using not only each landmark´s position and posture but also relations between them. Then, Pos-URG´s position and posture is calculated with coordinate transform from sensor coordinates to map coordinates. The most important characteristic of this proposed searching method is its low computational time and it enables the method to be implemented into low-cost and low-spec CPU which is assembled into Pos-URG.
Keywords :
laser ranging; mobile robots; computational time; coordinate transform; distance value; light-weight LRF; map coordinates; map data; mobile robot localization; pose information; positioning sensor; positioning system; relation information; sensor coordinates; ultra-compact laser range finder; Costs; Global Positioning System; Intelligent sensors; Mobile robots; Robot kinematics; Robot sensing systems; Robotic assembly; Robotics and automation; Sensor phenomena and characterization; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Robotics, 2009. ICAR 2009. International Conference on
Conference_Location :
Munich
Print_ISBN :
978-1-4244-4855-5
Electronic_ISBN :
978-3-8396-0035-1
Type :
conf
Filename :
5174757
Link To Document :
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