DocumentCode :
1775397
Title :
A new method to follow a path on indoor environments applied for mobile robotics
Author :
Ortega-Garcia, J.L. ; Gordillo, J.L. ; Soto, R.
Author_Institution :
Center for Robot. & Intell. Syst. (CRIS), Tecnol. de Monterrey, Monterrey, Mexico
fYear :
2014
fDate :
18-20 June 2014
Firstpage :
631
Lastpage :
636
Abstract :
A new method to follow a path conformed by straight lines, rotation angles and landmarks is presented. This method implements odometry and computer vision in order to achieve desired position. The method can be applied for indoors such as industries, laboratories, hospitals and other closed places. The approach is divided in two stages: data acquisition and autonomous navigation. At first stage, user guides mobile robot through desired trajectory in order to acquire angles, landmarks and distances. Also, an algorithm to acquire landmarks is established. The algorithm implements image descriptors and it is based on Harris corner [1] and Shi-Tomasi [2] algorithms. In second stage, mobile robot replicates path applying odometry for straight lines and SURF algorithm for image feature detector [3]. Two movements are required with the purpose to perform specific task: go forward and rotation so two controllers are designed. Finally, experiments and results are exposed.
Keywords :
data acquisition; mobile robots; path planning; robot vision; Harris corner; Shi-Tomasi algorithm; autonomous navigation stage; computer vision; data acquisition stage; image descriptors; indoor environments; landmarks; mobile robotics; odometry; path following; rotation angles; straight lines; Equations; Mathematical model; Mobile robots; Navigation; Trajectory; Wheels; Robotics; automated guided vehicles; autonomous mobile robot; landmark acquisition; landmark detection; landmark-based navigation; linear velocity control; path following; rotation control; trajectory tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location :
Taichung
Type :
conf
DOI :
10.1109/ICCA.2014.6870993
Filename :
6870993
Link To Document :
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