An obstacle avoidance method for two wheeled mobile robot
Mingcong Deng, Akira Inoue, Yoshiteru Shibata, Katsuya Sekiguchi, Nobuyuki Ueki · 2007
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.