DEVELOPMENT OF A MODEL FOR RECOGNIZING VARIOUS OBJECTS  AND TOOLS IN A COLLABORATIVE ROBOT WORKSPACE

Vladyslav Yevsieiev; Amer Abu-Jassar; Svitlana Maksymova; Nataliia  Demska1

Authors

Vladyslav Yevsieiev Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
Amer Abu-Jassar Department of Computer Science, College of Information Technology, Amman Arab University, Amman, Jordan
Svitlana Maksymova Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
Nataliia Demska1 Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

Keywords:

Object Recognition, Robotic Systems, Computer Vision, Machine Learning, Robot Workspace, Industry 5.0.

Abstract

The article discusses the development of a model for recognizing objects and
tools in the robot's workspace, which is based on computer vision and machine learning
methods to ensure safe interaction within the framework of Industry 5.0. The model
allows increasing the accuracy and reliability of object recognition in complex
conditions, adapting robots to changing tasks. The results can be used for integration
into robotic platforms operating in flexible manufacturing environments, ensuring
flexible automation and a human-centric approach.

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