Vladyslav, Yevsieiev and Amer, Abu-Jassar and Svitlana, Maksymova and Nataliia, Demska1 (2025) DEVELOPMENT OF A MODEL FOR RECOGNIZING VARIOUS OBJECTS AND TOOLS IN A COLLABORATIVE ROBOT WORKSPACE. ACUMEN: INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH; Vol. 2 No. 1 (2025): ACUMEN: INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH; 224-239.
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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.
| Item Type: | Article |
|---|---|
| Additional Information: | Imported from ACUMEN: International Journal of Multidisciplinary Research |
| SWORD Depositor: | Admin User |
| Depositing User: | Admin User |
| Date Deposited: | 24 Sep 2026 22:39 |
| Last Modified: | 24 Sep 2026 22:39 |
| URI: | https://universalpublishings.uz/id/eprint/7572 |
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