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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

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Controlling an Industrial Robot Using Stereo 3D Vision Systems with AI Elements.

Jarosław Panasiuk¹

¹Faculty of Mechatronics, Armament and Aerospace, Military University of Technology, Kaliskiego 2 Street, 00-908 Warsaw, Poland.

Sensors (Basel, Switzerland)

|October 29, 2025

Summary

This study enhances industrial robot awareness by integrating AI and 3D vision systems. This overcomes limited fields of view, improving robotic process control and precision.

Keywords:

FANUC robot industrial robot remote motion interface (RMI)stereovision system control vision system

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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

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Area of Science:

Robotics
Computer Vision
Artificial Intelligence

Background:

Robotization and 3D vision systems increase flexibility and process control.
Standard vision systems have limited operational spaces.
Industrial robot control systems often lack comprehensive environmental awareness.

Purpose of the Study:

To address the limited digital awareness of robotic systems caused by restricted vision fields.
To enhance the environmental perception of industrial robots.
To maintain high precision in robotic operations despite expanded vision capabilities.

Main Methods:

Integration of Artificial Intelligence (AI) and external vision systems with industrial robot control.
Utilizing a 3D vision system with a stereovision camera.
Combining AI-powered software with FANUC industrial robot control and integrated Robot Vision (iRVision).

Main Results:

Successfully expanded the digital awareness of robotic systems beyond standard vision limitations.
Maintained high precision in robot tool positioning.
Demonstrated a practical solution for enhancing robotic environmental perception.

Conclusions:

The integration of AI and advanced 3D vision systems significantly improves robotic environmental awareness.
This approach overcomes the limitations of standard vision systems in industrial robots.
The developed system maintains precise robotic tool positioning while expanding operational capabilities.