Abstract
Tangentbug algorithm requires the robot to select the moving point by the distance of the intersection of the partial scanned tangent picture, thus the algorithm is simple and of high real-time characteristics. Robot obstacle avoidance game is a regular event of FIRA ROBO WORLD CUP (Robot World Cup Soccer League). This article applies the Tangentbug algorithm into the obstacle avoidance by NAO robot, gets partial map information by NAO robot vision sensor, and analyzes and processes image information. By a few steps such as visual processing, corner extraction, distance conversion, direction calculation, and angle calculation, we get the motion paths of robot. The experimental results show that, Tangentbug can produce a shorter path in a short period of time.
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