Practical Use of Robot Manipulators as Intelligent Manufacturing Systems

Area of Science:

• Robotics and Automation
• Intelligent Manufacturing Systems
• Industry 4.0

Background:

• Intelligent manufacturing systems require seamless communication between diverse agents.
• Achieving common understanding and real-time interaction is a key challenge in interconnected systems.
• Cyber-physical capabilities are essential for solving machine-to-machine and man-to-machine interactions.

Purpose of the Study:

• To present features and advanced settings for robot manipulator controllers in intelligent manufacturing.
• To propose an online communication algorithm for real-time interactions in Smart Factories.
• To integrate robot manipulator data into industrial big data for factory management.

Main Methods:

• Development of an online communication algorithm for managing robot parameters in real-time.
• Implementation of Industry 4.0 standards for inter-entity communication.
• Testing the communication tool in both real robot environments and simulations.

Main Results:

• The proposed algorithm effectively manages and controls robot parameters in real-time.
• The communication tool enables seamless data integration from robot manipulators into industrial big data.
• Successful implementation demonstrated in real-world robot and simulation scenarios.

Conclusions:

• The developed communication tool is novel and implements Industry 4.0 standards.
• It facilitates essential real-time communications among entities in an intelligent manufacturing system.
• The tool enhances the management and control of industrial robot manipulators within a Smart Factory context.