Research on Robot Control Technology Based on Vision Localization Article Swipe
Ruijiao Yin
,
Jie Yang
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.32604/jai.2019.05815
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.32604/jai.2019.05815
Based on the understanding of machine vision localization technology at home and abroad, this paper outlines the overall design of the system, and analyses the working principle and workflow of the robot with vision system in workpiece grinding. The hardware design of the system is introduced. The process of image processing is analyzed in detail, and the results of image processing are given. The basic parameters of camera imaging are taken as internal parameters. The camera calibration is obtained by rotation matrix R and translation parameter T. The coordinate transformation of camera coordinate system and world coordinate system is analyzed. Finally, the positions and postures of the actual workpiece and the end-effector in the world coordinate system are given respectively, and the robot with the vision system is used to grasp the actual workpiece. The difficulties of this project are visual calibration, image processing and coordinate transformation. Robot vision technology can directly grasp the location. Compared with the manual mechanical positioning, the robot that realizes autonomous vision localization has more flexibility, better quality and higher efficiency.
Related Topics
Concepts
Computer vision
GRASP
Coordinate system
Artificial intelligence
Machine vision
Computer science
Robot
Cartesian coordinate robot
Camera resectioning
Image processing
Transformation (genetics)
Process (computing)
Transformation matrix
Workspace
Rotation (mathematics)
Robot end effector
Flexibility (engineering)
Workflow
Robot control
Image (mathematics)
Mobile robot
Kinematics
Mathematics
Physics
Classical mechanics
Database
Statistics
Gene
Operating system
Chemistry
Programming language
Biochemistry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.32604/jai.2019.05815
- OA Status
- diamond
- Cited By
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2934172702
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2934172702Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.32604/jai.2019.05815Digital Object Identifier
- Title
-
Research on Robot Control Technology Based on Vision LocalizationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-01-01Full publication date if available
- Authors
-
Ruijiao Yin, Jie YangList of authors in order
- Landing page
-
https://doi.org/10.32604/jai.2019.05815Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.32604/jai.2019.05815Direct OA link when available
- Concepts
-
Computer vision, GRASP, Coordinate system, Artificial intelligence, Machine vision, Computer science, Robot, Cartesian coordinate robot, Camera resectioning, Image processing, Transformation (genetics), Process (computing), Transformation matrix, Workspace, Rotation (mathematics), Robot end effector, Flexibility (engineering), Workflow, Robot control, Image (mathematics), Mobile robot, Kinematics, Mathematics, Physics, Classical mechanics, Database, Statistics, Gene, Operating system, Chemistry, Programming language, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 2, 2023: 6, 2022: 2, 2021: 3, 2020: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| publication_year | 2019 |
| referenced_works_count | 0 |
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