Case Sharing:3D visual SLAM navigation, which helps the mobile robot to operate stably in the industrial environment

🏅Case Sharing:3D visual SLAM navigation, which helps the mobile robot to operate stably in the industrial environment

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SLAM technology, or "real-time positioning and map building" technology, allows robots to simultaneously locate themselves and map building in unknown environments. Specifically, SLAM uses sensors (such as depth cameras or lidar) to collect environmental data and process the data to estimate the location of the device while building a map of the surrounding environment. SLAM technology can solve how a robot makes a map without knowing its position, while relying on it to determine its location. The technology has widespread applications in robotic navigation, autonomous driving, augmented reality (AR), and more, enabling devices to navigate in complex environments without pre-defined maps.

MRDVS top view navigation SLAM technology uses an RGB-D camera to capture detailed depth data from the ceiling. The system is capable of detecting features within distances of up to 12 meters, making full use of the upper space, an innovative approach that allows the robot to track its position in the map while mapping the environment. Unlike traditional SLAM, which relies on ground navigation lines, Myer's top-vision navigation solution avoids many ground obstacles and provides a consistent perspective, improves positioning accuracy and reduces errors that can occur with robot collaboration.

Application scenario 1:

A photovoltaic enterprise has more than a dozen lines, which need to be put into production line by line. The production line equipment in the workshop and the mobile robot responsible for handling gradually enter and put into production, that is, there is a high dynamic change in the surrounding environment in the operation process of mobile robots. In addition, the whole workshop use robot has more than 500 units, traffic during operation, the pickup positioning accuracy requirements, eventually using Michael top SLAM navigation solutions instead of traditional 2D laser radar navigation positioning, sensor installed in photovoltaic one-piece handling robot on the top, has been stable operation for more than 1 year. The two workshops with a total of 80,000 square meters, more than 500 AGVs equipped with the visual positioning module, realizing no operational failure and lost positioning problems since the launch.

Application scenario 2:

In a south China automobile manufacturing enterprise, the workshop environment is empty, the surrounding is filled with revolving vehicles, and the people and cars are mixed. The parts in the workshop are stacked greatly, which is a typical high dynamic environment, and the positioning of traditional 2D lidar is very difficult. In order to meet the requirements of this scenario, the MRDVS SLAM navigation and positioning scheme is adopted, and the sensor is installed on the upper end of the large roller handling AMR, which is responsible for transporting the engine parts and improving the stability of the robot positioning.

Application scenario 3:

A south China garment manufacturing enterprise, its warehouse is a typical ground pile, with more than 4000 warehouses, and the warehouse spacing is small, and the material change is large, unable to use 2D laser navigation, finally adopted the MRDVS vision top vision SLAM navigation solution, the navigation module installed on the top of AGV forklift, responsible for the transportation tray.

The successful application of the MRDVS SLAM navigation solution proves the excellent performance and wide applicability of the SLAM technology in practical scenarios. Both in complex production workshops, highly dynamic manufacturing environment, or dense storage space.