Locomotion Strategy Selection for a Hybrid Mobile Robot Using Time of Flight Depth Sensor
Joint Authors
Saudabayev, Artur
Kungozhin, Farabi
Nurseitov, Damir
Varol, Huseyin Atakan
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-15
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The performance of a mobile robot can be improved by utilizing different locomotion modes in various terrain conditions.
This creates the necessity of having a supervisory controller capable of recognizing different terrain types and changing the locomotion mode of the robot accordingly.
This work focuses on the locomotion strategy selection problem for a hybrid legged wheeled mobile robot.
Supervisory control of the robot is accomplished by the terrain recognizer, which classifies depth images obtained from a commercial time of flight depth sensor and selects different locomotion mode subcontrollers based on the recognized terrain type.
For the terrain recognizer, a database is generated consisting of five terrain classes (Uneven, Level Ground, Stair Up, Stair Down, and Nontraversable).
Depth images are enhanced using confidence map based filtering.
The accuracy of the terrain classification using Support Vector Machine classifier for the testing database in five-class terrain recognition problem is 97%.
Real-world experiments assess the locomotion abilities of the quadruped and the capability of the terrain recognizer in real-time settings.
The results of these experiments show depth images processed in real time using machine learning algorithms can be used for the supervisory control of hybrid robots with legged and wheeled locomotion capabilities.
American Psychological Association (APA)
Saudabayev, Artur& Kungozhin, Farabi& Nurseitov, Damir& Varol, Huseyin Atakan. 2015. Locomotion Strategy Selection for a Hybrid Mobile Robot Using Time of Flight Depth Sensor. Journal of Sensors،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1070119
Modern Language Association (MLA)
Saudabayev, Artur…[et al.]. Locomotion Strategy Selection for a Hybrid Mobile Robot Using Time of Flight Depth Sensor. Journal of Sensors No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1070119
American Medical Association (AMA)
Saudabayev, Artur& Kungozhin, Farabi& Nurseitov, Damir& Varol, Huseyin Atakan. Locomotion Strategy Selection for a Hybrid Mobile Robot Using Time of Flight Depth Sensor. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1070119
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070119