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
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;
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
DOI :
10.1109/ICNSC.2007.372863