The drug compounding robot adopts a deep neural network learning algorithm for drug compounding, automatic drug vial recognition, motion control algorithms, and drug compounding error compensation technology; it is equipped with world-class sensors. Since vials of different specifications have different volumes and pressures, the sensors can automatically calculate the internal volume of the vial and adjust the pressure, thereby completing quantitative aspiration of the drug solution; it adopts spin-body manipulator technology to achieve syringe rotation, with the mechanical gripper correcting the needle deviation for precise aspiration and high drug solubility.

1. Liberates the workforce, replaces the heavy manual labor of pharmacists (nurses), easily completes drug compounding work, and ends the more than 200-year history of manual drug compounding.

2. Improves work efficiency, increasing drug compounding from 50-60 bags/person per hour to about 200 bags.

3. Reduces hospital costs.

4. Avoids occupational injuries to pharmacists and nurses.

5. Standardizes the drug compounding process and reduces the hospital infection rate.

From a social perspective, the drug compounding robot benefits the country and the people. It can reduce the hospital infection rate, ensure patient medication safety, liberate the workforce, improve labor productivity, eliminate occupational injuries to pharmacists and nurses, make hospital drug compounding standardized and normalized, ensure the effectiveness and timeliness of drugs, and improve hospital service quality. From an economic perspective, the drug compounding robot project can reduce medical financial expenditures, reduce medical insurance expenditures, and achieve medical automation, enabling hospitals to provide better services to patients.