Indoor SLAM Using Laser and Camera with Closed-Loop Controller for NAO Humanoid Robot
Joint Authors
Rad, Ahmad B.
Othman, Kamal Mohammed
Zhao, Yongsheng
Wen, Shuhuan
Zhang, Ethan
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We present a SLAM with closed-loop controller method for navigation of NAO humanoid robot from Aldebaran.
The method is based on the integration of laser and vision system.
The camera is used to recognize the landmarks whereas the laser provides the information for simultaneous localization and mapping (SLAM ).
K-means clustering method is implemented to extract data from different objects.
In addition, the robot avoids the obstacles by the avoidance function.
The closed-loop controller reduces the error between the real position and estimated position.
Finally, simulation and experiments show that the proposed method is efficient and reliable for navigation in indoor environments.
American Psychological Association (APA)
Wen, Shuhuan& Othman, Kamal Mohammed& Rad, Ahmad B.& Zhang, Ethan& Zhao, Yongsheng. 2014. Indoor SLAM Using Laser and Camera with Closed-Loop Controller for NAO Humanoid Robot. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1014138
Modern Language Association (MLA)
Wen, Shuhuan…[et al.]. Indoor SLAM Using Laser and Camera with Closed-Loop Controller for NAO Humanoid Robot. Abstract and Applied Analysis No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1014138
American Medical Association (AMA)
Wen, Shuhuan& Othman, Kamal Mohammed& Rad, Ahmad B.& Zhang, Ethan& Zhao, Yongsheng. Indoor SLAM Using Laser and Camera with Closed-Loop Controller for NAO Humanoid Robot. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1014138
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1014138