Five solutions for mobile robot navigation

The navigation system is one of the important components of the mobile robot . It can provide the correct position and attitude information of the robot, so that the robot can work in a certain environment, complete the specified tasks, and realize the path planning and obstacle avoidance of the mobile robot. Avoid collision, the basis of intelligent autonomous control. At present, common navigation system methods include electromagnetic navigation, light reflection navigation, and GPS navigation. This article describes the latest navigation methods available today.

plan 1

[Technical purpose]: To provide a visual navigation method for mobile robot based on color road signs.

[Technical Solution]: The method involves the field of intelligent control. The invention designs a cylinder with two different color rings as a road sign for robot visual navigation. In the HSI (HSI: Hue, Saturation, Intensity, hue, saturation, brightness) color space, H is the main threshold, I The threshold segmentation method for auxiliary threshold and the segmentation method based on the number of edge points of S component are combined to effectively segment the color road sign. The image information of the color circle is used to realize the recognition and alignment technology of the road sign by the robot. An improved gray-scale correlation matching method was introduced to optimize the vertical distance value of the center of the two color circles. By establishing the imaging model of the robot coordinate system and the road sign, the global coordinates of the road sign are obtained, and finally the particle swarm algorithm is introduced to optimize it. The mathematical model was built and the visual relocation of the robot based on the road sign was completed.

[Technical effect]: The robot's environment adaptability and survivability are greatly improved, making human-computer interaction more convenient and natural.

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