An Adaptive Memory Model for Long-Term Navigation of Autonomous Mobile Robots
Joint Authors
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-11
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper introduces an environmental representation for autonomous mobile robots that continuously adapts over time.
The presented approach is inspired by human memory information processing and stores the current as well as past knowledge of the environment.
In this paper, the memory model is applied to time-variant information about obstacles and driveable routes in the workspace of the autonomous robot and used for solving the navigation cycle of the robot.
This includes localization and path planning as well as vehicle control.
The presented approach is evaluated in a real-world experiment within changing indoor environment.
The results show that the environmental representation is stable, improves its quality over time, and adapts to changes.
American Psychological Association (APA)
Hentschel, M.& Wagner, B.. 2012. An Adaptive Memory Model for Long-Term Navigation of Autonomous Mobile Robots. Journal of Robotics،Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-477039
Modern Language Association (MLA)
Hentschel, M.& Wagner, B.. An Adaptive Memory Model for Long-Term Navigation of Autonomous Mobile Robots. Journal of Robotics No. 2011 (2011), pp.1-9.
https://search.emarefa.net/detail/BIM-477039
American Medical Association (AMA)
Hentschel, M.& Wagner, B.. An Adaptive Memory Model for Long-Term Navigation of Autonomous Mobile Robots. Journal of Robotics. 2012. Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-477039
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477039