DocumentCode
2842783
Title
An obstacle avoidance method for two wheeled mobile robot
Author
Deng, Mingcong ; Inoue, Akira ; Shibata, Yoshiteru ; Sekiguchi, K. ; Ueki, Nobuyuki
Author_Institution
Okayama Univ., Okayama
fYear
2007
fDate
15-17 April 2007
Firstpage
689
Lastpage
692
Abstract
In this paper, we proposed an obstacle avoidance method of mobile robot by using lobula giant movement detector (LGMD) method. The LGMD is an identified neuron in the locust brain that responds most strongly to the image of an approaching object such as a predator. As an assistance to the avoidance method, we add a distance measurement algorithm to LGMD method. The measurement algorithm is based on information from camera to detect obstacles and calculate the route for two wheeled mobile robot. Simulation result confirmed the effectiveness of the proposed method.
Keywords
collision avoidance; distance measurement; mobile robots; LGMD method; camera; distance measurement algorithm; lobula giant movement detector; locust brain; obstacle avoidance method; two wheeled mobile robot; Brain modeling; Cameras; Detectors; Distance measurement; Insects; Intelligent robots; Intelligent sensors; Mobile robots; Object detection; Robot vision systems; Mobile robot; distance measurement; lobula giant movement detector; obstacle avoidance;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2007 IEEE International Conference on
Conference_Location
London
Print_ISBN
1-4244-1076-2
Electronic_ISBN
1-4244-1076-2
Type
conf
DOI
10.1109/ICNSC.2007.372863
Filename
4239076
Link To Document