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  • Detailed introduction
    • Commodity name: Hospital logistics robot

    hospital logistics robot

     

    Through the perfect hospital full-scene intelligent real-time scheduling system and the safe and efficient unmanned driving technology based on 5G technology, the full-scene automatic distribution of hospital materials is realized by combing and defining the logistics needs of different scenes in the hospital and matching the suitable robot models. Covering 21 hospital logistics scenarios, 6 series and 17 models have been launched, achieving 95% material coverage and 100 accurate delivery.

     

    21 mature application scenarios, full coverage of materials

     

     

    Autonomous positioning, super perception

     

    More reliable

    Based on 3D lidar, the multi-sensor fusion positioning algorithm is upgraded in an all-round way. The industry is the first to realize 3D high-precision map construction and positioning. The amount of real-time positioning information is increased by up to 100 times, making the whole scene positioning of the robot hospital more accurate and reliable.

    Safer

    Self-developed 3D laser radar, camera and other multi-sensor data fusion visual recognition technology, comprehensively upgrade the obstacle recognition capability, overcome the influence of strong light, dark light and other lighting scenes, make the robot's perception, recognition and positioning of obstacles more accurate, and the whole hospital's full scene autonomous driving is safer.

    More intelligent

    With high-precision autonomous positioning and super obstacle perception, based on the industry's rich hospital scene autonomous driving data, deep learning optimization algorithm, so that the robot more calmly deal with the complex pedestrian scene, and efficient and safe passage.

     

    Easy operation, no error, traceable

     

     

    collaborative and efficient

     

     

     

    Low power consumption, long battery life

     

     

    Mature 5G applications

     

     

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