DocumentCode
3482960
Title
Multiple Mobile Robots Map Building Based on DSmT
Author
Li, Peng ; Huang, Xinhan ; Wang, Min ; Zeng, Xiangjin
Author_Institution
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan
fYear
2008
fDate
21-24 Sept. 2008
Firstpage
509
Lastpage
514
Abstract
In this paper, a new multi-robot system framework is introduced to solve the problem of multi-robot map building. Compared with the classical architectures introduced in the literature, this kind of framework enhances overall system performance, especially in reducing calculations and communications, improving real-time performance. Meanwhile a general basic belief assignment function (gbbaf) is constructed to deal with the uncertain and imprecise information obtained by sonar sensors with the application of new information fusion method DSmT (dezert and smarandache theory) in the system and consideration of characteristics of sonar sensors. At last, Pioneer II mobile robots are used to carry out experiments of map building for both single-robot system and multi-robot system. The comparison of created ichnography with the real map testified the validity of DSmT and efficiency of multi-robot system for fusing imprecise information and map building proposed by this research.
Keywords
mobile robots; multi-robot systems; sensor fusion; Pioneer II mobile robots; general basic belief assignment function; information fusion method; multiple mobile robots; multirobot map building; multirobot system; sonar sensors; Buildings; Mobile communication; Mobile robots; Multirobot systems; Real time systems; Sensor fusion; Sensor phenomena and characterization; Sensor systems and applications; Sonar applications; System performance; DSmT; information fusion; map building; multi-robot;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics, Automation and Mechatronics, 2008 IEEE Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-1675-2
Electronic_ISBN
978-1-4244-1676-9
Type
conf
DOI
10.1109/RAMECH.2008.4681365
Filename
4681365
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