AI-driven Vision Systems for Object Recognition and Localization in Robotic Automation
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2023
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| _version_ | 1866901409900789760 |
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| author | Somil Nishar |
| author_facet | Somil Nishar |
| 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. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18205527 |
| institution | Zenodo |
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| publishDate | 2023 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI-driven Vision Systems for Object Recognition and Localization in Robotic Automation Somil Nishar Robotic automation; Artificial intelligence; Object detection; Localization; Deep learning; Semantic segmentation; Real-time processing; Occlusion management. 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. |
| title | AI-driven Vision Systems for Object Recognition and Localization in Robotic Automation |
| topic | Robotic automation; Artificial intelligence; Object detection; Localization; Deep learning; Semantic segmentation; Real-time processing; Occlusion management. |
| url | https://doi.org/10.5281/zenodo.18205527 |