It can be equipped with storage modules of different specifications according to the needs of hospitals to realize the classified transportation of various materials, such as pharmaceuticals (e.g., conventional pharmaceuticals, refrigerated pharmaceuticals), medical devices (e.g., surgical instrument kits), test specimens (e.g., blood samples, pathological sections), patient meals, and medical waste. Some robots also have temperature control and shockproof functions to ensure the quality and safety of special materials during transportation.
Relying on technologies such as lidar, visual sensors, and SLAM (Simultaneous Localization and Mapping), it can autonomously recognize the complex environment of hospitals (e.g., corridors, elevators, ward entrances), avoid obstacles like pedestrians and medical equipment in real time, and plan the optimal transportation path. It requires no full-process manual control and can operate 24 hours a day without interruption.
It is equipped with identification functions (e.g., card swiping, code scanning) and permission control functions to prevent incorrect taking or loss of materials. At the same time, it records information such as transportation trajectory, time, and handler through Internet of Things (IoT) technology, realizing full-process traceability and facilitating hospital management and responsibility verification.
Compared with traditional manual transportation, hospital transportation robots can reduce labor input and avoid transportation delays caused by staff fatigue, work handover, and other factors. Especially in large hospitals or peak periods (e.g., centralized submission of specimens, drug delivery), they can significantly improve the efficiency of logistics turnover, and indirectly save time costs for clinical diagnosis and treatment work.
