Views: 0 Author: Site Editor Publish Time: 2025-06-16 Origin: Site
In the booming development trend of intelligent manufacturing, intelligent logistics and warehousing technology, with its key supporting role, has become the core driving force for enterprises to promote the automation upgrade of logistics systems, achieve logistics upgrades, and improve production efficiency. This technology is deeply reconstructing the logistics operation mode and gradually evolving into a core force to promote industrial intelligent transformation and lead industry change.
The Xiaoben intelligent industrial handling robot relies on self-developed laser SLAM technology to achieve excellent environmental perception capabilities. With the help of this technology, robots can quickly construct a map of the work scene and accurately locate their own position in real-time. Even in complex and ever-changing industrial environments, it can flexibly, efficiently, and stably complete various handling tasks, bringing groundbreaking changes to the industrial handling operation mode.
High precision positioning and map construction
Xiaoben Intelligent's self-developed laser SLAM technology relies on laser radar to emit laser beams and measure the time difference of reflected light. The robot can accurately perceive the three-dimensional information of the surrounding environment and construct high-precision environmental maps. Laser SLAM is not affected by factors such as lighting conditions and surface materials of objects. Whether in dim warehouses or bright production workshops, laser SLAM can stably and accurately obtain environmental data.
During the mapping process, the robot scans the surrounding environment with a laser radar to obtain a large amount of point cloud data, and uses advanced algorithms to process and analyze this data, quickly generating accurate environmental maps. Compared to traditional mapping methods, laser SLAM technology greatly shortens the mapping time. Taking a 2000 square meter production workshop as an example, using traditional AGVs may take several days or even months to complete map construction, while small intelligent industrial handling robots only need about 30 minutes to complete the mapping task, greatly improving work efficiency.
