Research on Coverage Path Planning of Mobile Robot Based on Genetic Algorithm

Article Preview

Abstract:

This paper presents a complete coverage path planning method, which combines local space coverage with global motion planning. It is realized by modeling mobile robot environment based on Boustrophedon cell decomposition method; and according to the characteristics of regional environment model, the connectivity of the traversing space is represented by a complete weighted connected matrix. Then Genetic algorithm (GA) is used to optimize the subspace traversal distance to obtain the shortest global traversal sequence of mobile robot.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

379-383

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] D. Q. Zhu, M. Z. Yan. Survey on technology of mobile robot path planning[J]. Control and Decision,2010, 25(7): 961-965.

Google Scholar

[2] Z. M. Wang. Path planning and trajectory tracking of mobile robot[M]. Ordnance Industry Press, 2008: 9-16.

Google Scholar

[3] X. F. Yang. Mobile Robot Path Planning Based on Grid Algorithm and CGA [J]. Computer Simulation, 2012,29(7): 223-226.

Google Scholar

[4] R. N. Carvalho, H. A Vidal, P. Vieira. Complete coverage path planning and guidance for cleaning robots[C]. Proc. Of IEEE International Symposium on Industrial Electronics, Guimaraes, Portugal, 1997: 677-682.

DOI: 10.1109/isie.1997.649051

Google Scholar

[5] K. Liu. Research on Mobile Robot complete coverage systems [D]. South University master thesis, (2006).

Google Scholar

[6] H. J. Liu. Research on Mobile Robots motion planning: A Survey[J]. China Mechanical Engineering, 2006,8(1): 85-92.

Google Scholar

[7] Z. Peng, Z.M. Wang, Z.N. Li, Y. Li. Complete Coverage Path Planning of Mobile Robot Based on Dynamic Programming Algorithm[C]. In:2nd International Conference on Electronic and Mechanical Engineering and Information Teachnology. Shenyang:, 2012: 1837-1841.

DOI: 10.2991/emeit.2012.407

Google Scholar