This study explores the development of methods and algorithms for detecting hazardous objects in robotic systems powered by artificial intelligence. A specialized dataset named DENGROUS was created using the Roboflow platform, consisting of 10 classes, 15,668 images, and 21,944 annotations. Their performance was then comparatively evaluated on a validation dataset. Experimental results showed that YOLO26s achieved the highest accuracy with mAP@0.5 = 0.876 and mAP@0.5:0.95 = 0.701. The YOLO11s model ranked second with a Precision score of 0.897, while YOLOv8n demonstrated the fastest inference speed at 4.5 ms per image.
| Mualliflar | Khakimov, Allamurod, Nazarov, Fayzullo, Musurmonova , Ibodat |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashriyot | ТАТУ Фарғона филиали |
| ISSN | 2181-4252 |
| Nashr sanasi | 2026-05-11 |
| Son | 2 |
| Betlar | 158-164 |
| Til | Ingliz |
| Ilmiy soha | Texnika |
| Indeksga qo‘shilgan | 2026-08-26 |
YOLO, hazardous object detection, child safety, robotic systems, convolutional neural networks, ResNet
| APA | Khakimov, Allamurod, Nazarov, Fayzullo, & Musurmonova , Ibodat (2026). METHODS AND ALGORITHMS FOR IDENTIFYING DANGEROUS OBJECTS FOR ROBOTIC DEVICES BASED ON ARTIFICIAL INTELLIGENCE. Al-Farg'oniy avlodlari, (2), 158-164. https://al-fargoniy.uz/index.php/journal/article/view/1144 |
|---|---|
| GOST (OAK) | Khakimov, Allamurod, Nazarov, Fayzullo, Musurmonova , Ibodat METHODS AND ALGORITHMS FOR IDENTIFYING DANGEROUS OBJECTS FOR ROBOTIC DEVICES BASED ON ARTIFICIAL INTELLIGENCE // Al-Farg'oniy avlodlari. – 2026. – № 2. – P. 158-164. |
| MLA | Khakimov, Allamurod, Nazarov, Fayzullo, and Musurmonova , Ibodat. “METHODS AND ALGORITHMS FOR IDENTIFYING DANGEROUS OBJECTS FOR ROBOTIC DEVICES BASED ON ARTIFICIAL INTELLIGENCE.” Al-Farg'oniy avlodlari, (2), 158-164, 2026. https://al-fargoniy.uz/index.php/journal/article/view/1144 |
| Chicago | Khakimov, Allamurod, Nazarov, Fayzullo, and Musurmonova , Ibodat. “METHODS AND ALGORITHMS FOR IDENTIFYING DANGEROUS OBJECTS FOR ROBOTIC DEVICES BASED ON ARTIFICIAL INTELLIGENCE.” Al-Farg'oniy avlodlari, (2), 158-164 (2026). https://al-fargoniy.uz/index.php/journal/article/view/1144 |
| Harvard | Khakimov, Allamurod, Nazarov, Fayzullo, and Musurmonova , Ibodat (2026) ‘METHODS AND ALGORITHMS FOR IDENTIFYING DANGEROUS OBJECTS FOR ROBOTIC DEVICES BASED ON ARTIFICIAL INTELLIGENCE’, Al-Farg'oniy avlodlari, (2), 158-164. https://al-fargoniy.uz/index.php/journal/article/view/1144 |
| BibTeX | @article{khakimovallamurod2026,
title = {METHODS AND ALGORITHMS FOR IDENTIFYING DANGEROUS OBJECTS FOR ROBOTIC DEVICES BASED ON ARTIFICIAL INTELLIGENCE},
author = {Khakimov, Allamurod and Nazarov, Fayzullo and Musurmonova , Ibodat},
journal = {Al-Farg'oniy avlodlari},
year = {2026},
number = {2},
pages = {158-164},
url = {https://al-fargoniy.uz/index.php/journal/article/view/1144}
} |
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