Cooperative Multi-Robot Map-building based on Genetic Algorithms

Author

Zhao, Jie ; Jiang, Jian ; Zang, Xizhe

Author_Institution

Robot. Inst., Harbin Inst. of Technol., Harbin

fYear

2006

fDate

20-23 Aug. 2006

Firstpage

360

Lastpage

364

Abstract

The paper surveys two research fields of cooperative multi-robot map-building .One field is exploring region distribute method and another field is robot exploring navigation strategy. A cooperative multi-robot map-building approach based on Hilbert curve exploring method and cooperative multi-robot sub-region selected method based on genetic algorithms is presented Simulation experiments show that the approach not only can reduce the probability of repeatedly explore the same region but also can make the region selected for every robot is a optimized region for them.

Keywords

Hilbert transforms; genetic algorithms; multi-robot systems; Hilbert curve exploring method; cooperative multirobot map-building approach; cooperative multirobot subregion selected method; genetic algorithms; region distribute method; Arithmetic; Collaboration; Cost function; Genetic algorithms; Humans; Mobile robots; Navigation; Optimization methods; Paper technology; Robot sensing systems; Genetic Algorithms; Hilbert Curve Exploring; Map-building; Multi-robot Cooperation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Acquisition, 2006 IEEE International Conference on

Conference_Location

Shandong

Print_ISBN

1-4244-0528-9

Electronic_ISBN

1-4244-0529-7

Type

conf

DOI

10.1109/ICIA.2006.306026

Filename

4097959