Implementing a Vision-Based ROS Package for Reliable Part Localization and Displacement from Conveyor Belts Article Swipe
Eber Lawrence Souza Gouveia
,
John G. Lyons
,
Declan M. Devine
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/jmmp8050218
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/jmmp8050218
The use of computer vision in the industry has become fundamental, playing an essential role in areas such as quality control and inspection, object recognition/tracking, and automation. Despite this constant growth, robotic cell systems employing computer vision encounter significant challenges, such as a lack of flexibility to adapt to different tasks or types of objects, necessitating extensive adjustments each time a change is required. This highlights the importance of developing a system that can be easily reused and reconfigured to address these challenges. This paper introduces a versatile and adaptable framework that exploits Computer Vision and the Robot Operating System (ROS) to facilitate pick-and-place operations within robotic cells, offering a comprehensive solution for handling and sorting random-flow objects on conveyor belts. Designed to be easily configured and reconfigured, it accommodates ROS-compatible robotic arms and 3D vision systems, ensuring adaptability to different technological requirements and reducing deployment costs. Experimental results demonstrate the framework’s high precision and accuracy in manipulating and sorting tested objects. Thus, this framework enhances the efficiency and flexibility of industrial robotic systems, making object manipulation more adaptable for unpredictable manufacturing environments.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/jmmp8050218
- OA Status
- gold
- Cited By
- 1
- References
- 39
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4402983377Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/jmmp8050218Digital Object Identifier
- Title
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Implementing a Vision-Based ROS Package for Reliable Part Localization and Displacement from Conveyor BeltsWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-09-30Full publication date if available
- Authors
-
Eber Lawrence Souza Gouveia, John G. Lyons, Declan M. DevineList of authors in order
- Landing page
-
https://doi.org/10.3390/jmmp8050218Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3390/jmmp8050218Direct OA link when available
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Displacement (psychology), Conveyor belt, Computer science, Computer vision, Artificial intelligence, Engineering drawing, Engineering, Mechanical engineering, Psychology, PsychotherapistTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
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39Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
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| citation_normalized_percentile.is_in_top_10_percent | False |