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Case Project Name
发布时间 :2023/09/13
浏览次数 :62
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At present, laser navigation is mainly divided into two methods: laser navigation with reflective plates and laser navigation without reflective plates based on SLAM (Simultaneous localization and mapping) technology. Reflective plate navigation is currently widely used in the field of unmanned forklifts, and the technology is now very mature. Laser trackless navigation based on SLAM technology is more flexible and has now achieved large-scale application。

The flexibility, intelligence, and networking of production and manufacturing systems pose new challenges to industrial logistics systems and logistics mobile robots. Compared to various traditional navigation methods of AGV cars, laser SLAM navigation AGV can better meet the current application requirements. The urgent needs of the industry and the continuous maturity of technology are the foundation for promoting the large-scale application of laser SLAM navigation AGV. At the same time, the cultivation of the market by enterprises is also the key to expanding their applications。



Liang Chenggang, Sales Director of Stander Robotics, a representative enterprise of laser SLAM navigation AGV, also stated that "in the past two years, everyone was actually in a wait-and-see state regarding the application of laser SLAM. However, as our products continue to be polished in practical application environments, customer recognition is gradually increasing。”

Install a light source at the bottom center of the vehicle and the same color code sensors on both sides. They simultaneously detect the chromaticity value reflected by the color band and convert the chromaticity value into an analog quantity to be transmitted to the central control system of the AGV car. When the AGV car runs on the correct running track, the two amplifiers provide the same analog values to the PLC. When the AGV car deviates from the track, the two amplifiers provide different values to the PLC. The PLC can determine the degree and direction of AGV car deviation from the running track based on the difference between the two analog values, and control the motion controller to make the AGV car run on the correct track。