Need for developing a security robot-based risk management for emerging practices in the workplace using the Advanced...

Area of Science:

• Robotics
• Occupational Safety and Health
• Artificial Intelligence

Background:

• Increasing integration of industrial and collaborative robots in diverse sectors like manufacturing and mining presents new occupational safety and health challenges.
• Robots, while enhancing efficiency and productivity, introduce novel hazards and risks due to the removal of human-robot barriers.
• Potential for serious and fatal injuries to workers during robot operations like repairs and adjustments necessitates advanced safety protocols.

Purpose of the Study:

• To introduce the Advanced Human-Robot Collaboration Model (AHRCM) for enhanced risk assessment in robot-integrated workplaces.
• To develop a highly protected, security robot-based risk management system utilizing AI and Information and Communication Technology (ICT).
• To leverage robot perception cameras for generating environmental scene diagrams for semantic depiction.

Main Methods:

• Implementation of the Advanced Human-Robot Collaboration Model (AHRCM).
• Integration of Artificial Intelligence (AI) and Information and Communication Technology (ICT) for risk management.
• Utilizing robot perception cameras to create semantic environmental representations.

Main Results:

• The AHRCM method demonstrated high performance in achieving mutual human-robot adaptation.
• Experimental results indicate a significant reduction in workplace risks associated with human-robot collaboration.
• The system effectively manages risks in security robot applications.

Conclusions:

• Experiments with human subjects validated the AHRCM's effectiveness.
• Policies derived from the AHRCM model substantially improved human-robot team efficiency.
• The proposed model offers a significant advancement over strategies assuming complete human-robot adaptation.