1. Hospital Delivery Robots
The robots change logistics in hospitals
They perform delivery and transport tasks in hospitals to give staff more time to focus on patient care. Safe delivery of pharmacy medicines and laboratory samples and heavier loads such as meals, linen and environmental services are all moved autonomously. The result is more job satisfaction and more time for patient care.

Application Scenarios
Central Pharmacy, PIVAS, Logistics Department,Operating Room, Laboratory, Infectious Diseases Department, Disinfection Supply Center, Nuclear Medicine Department, Fever Clinic…
Common tasks
Nursing: Delivery robot was designed with nurses in mind. With the robots, nurses know when medicines, meals and other supplies come in.
Medicines/Specimens/Medical Devices/Consumbles: Delivery robot supplies safe delivery directly to nursing wards or other destinations. It secures and automates deliveries that are normally transported by tube or manual courier.
Food service: Delivery robot offers automated, cost-effective delivery of meals to patients in the room and returns dirty trays to the Food Service department.
Linen/Medical waste: Delivery robot ensures the safe, planned and on-demand delivery of linen/medical waste to nursing wards and departments. Personnel do not have to leave the unit for the delivery of linen/medical waste, because the robot delivers where the supplies are needed.
2. Surgical Assistance
Medical robots can assist doctors in surgeries, such as the da Vinci surgical robot, which uses high-precision mechanical arms and advanced vision systems to perform minimally invasive surgeries, reducing surgical trauma, bleeding, and infection risks, and accelerating patient recovery.

3. Rehabilitation Therapy
Assisting paralyzed patients in rehabilitation training, exoskeleton robots can provide corresponding assistance based on the patient’s movement intentions, promoting muscle recovery and improvement of motor functions.

4. Nursing Service
Can undertake some basic nursing tasks, such as measuring patients’ vital signs, delivering medication, assisting patients in moving, etc., to reduce the workload of medical staff.

5. Medical Imaging Analysis
Using artificial intelligence technology to analyze and diagnose medical images, helping doctors to discover diseases more quickly and accurately, improving diagnostic efficiency.