Standard for the Quantification of a Sterilization Effect Using an Artificial Intelligence Disinfection Robot

Area of Science:

• Robotics
• Microbiology
• Public Health

Background:

• COVID-19 outbreaks necessitate advanced disinfection methods.
• Limited manpower requires automated sterilization solutions.
• Autonomous robots are emerging as key tools for consistent decontamination.

Purpose of the Study:

• To develop an autonomous disinfection robot.
• To quantify the robot's sterilization efficacy (99.9%) against various bacterial strains.
• To determine optimal operating parameters for effective disinfection.

Main Methods:

• Development of an autonomous navigation robot with object and location recognition.
• Testing robot modules under varied conditions.
• Quantification of sterilization effects by adjusting moving speed, distance, and radiation angle.

Main Results:

• The autonomous robot demonstrated a 99.9% sterilization effect on various bacterial strains.
• Optimal operating parameters (speed, distance, angle) were determined for different modules.
• Quantified data on disinfection effectiveness was successfully obtained.

Conclusions:

• The developed autonomous disinfection robot achieves a 99.9% sterilization rate.
• This research provides crucial data for the practical application of disinfection robots.
• The findings represent a significant step towards widespread robotic disinfection in various settings.