Chaotic Path Planner of Autonomous Mobile Robots Based on the Standard Map for Surveillance Missions
Joint Authors
Song, Yong
Li, Caihong
Wang, Fengying
Liang, Zhenying
Zhu, Baoyan
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper proposes a fusion iterations strategy based on the Standard map to generate a chaotic path planner of the mobile robot for surveillance missions.
The distances of the chaotic trajectories between the adjacent iteration points which are produced by the Standard map are too large for the robot to track.
So a fusion iterations strategy combined with the large region iterations and the small grids region iterations is designed to resolve the problem.
The small region iterations perform the iterations of the Standard map in the divided small grids, respectively.
It can reduce the adjacent distances by dividing the whole surveillance workspace into small grids.
The large region iterations combine all the small grids region iterations into a whole, switch automatically among the small grids, and maintain the chaotic characteristics of the robot to guarantee the surveillance missions.
Compared to simply using the Standard map in the whole workspace, the proposed strategy can decrease the adjacent distances according to the divided size of the small grids and is convenient for the robot to track.
American Psychological Association (APA)
Li, Caihong& Song, Yong& Wang, Fengying& Liang, Zhenying& Zhu, Baoyan. 2015. Chaotic Path Planner of Autonomous Mobile Robots Based on the Standard Map for Surveillance Missions. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073349
Modern Language Association (MLA)
Li, Caihong…[et al.]. Chaotic Path Planner of Autonomous Mobile Robots Based on the Standard Map for Surveillance Missions. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1073349
American Medical Association (AMA)
Li, Caihong& Song, Yong& Wang, Fengying& Liang, Zhenying& Zhu, Baoyan. Chaotic Path Planner of Autonomous Mobile Robots Based on the Standard Map for Surveillance Missions. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073349
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073349