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| Format: | Recurso digital |
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Zenodo
2023
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| Online Access: | https://doi.org/10.5281/zenodo.18205527 |
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Table of Contents:
- Robotic automation has undergone a radical transformation due to the quick advances in artificial intelligence (AI), especially in object detection and localization. This article investigates how robotic automation processes benefit from integrating AI-driven vision systems for increased accuracy and efficiency. The study explores deep learning and semantic segmentation approaches to solve the problems of real-time processing, occlusion management, and environment generalization. The article also addresses current research trends and their applications in collaborative robotics and industrial automation, including domain adaptation and transfer learning.