Optimizing the Pick and Place Mechanism using MATLAB Functionalities and Kinova Gen3.
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| Title: | Optimizing the Pick and Place Mechanism using MATLAB Functionalities and Kinova Gen3. |
|---|---|
| Authors: | Pallav, Pratyush1, Mahato, Anil C.1 anilmahato@bitmesra.ac.in |
| Source: | Journal of Engineering Science & Technology Review. 2025, Vol. 18 Issue 6, p76-84. 9p. |
| Subjects: | MatLab (Computer software), Manipulators (Machinery), Industrial robots, Trajectories (Mechanics), Computer simulation, Robot control systems |
| Abstract: | Picking and placing are fundamental biomechanical human activities that can be replicated in a manipulator. Although simple, it is vital for day-to-day functioning in industries. Many hard-coded manipulators are designed solely for picking and placing. However, as new industries set up their "intelligent manufacturing" plants, more intelligent methods are being used to detect, process, and manipulate them. This study approaches a similar approach using a Kinova Gen3 manipulator that proposes an algorithm and uses the Structural Similarity Index Measure (SSIM) to estimate object distances. The Kinova Gen3 manipulator has been used for the application due to its variable degree of freedom, which can be altered from six to seven, and it can be used to perform flexible movement, that can be utilized in different complex objectives. Moreover, it uses Stateflow, MATLAB's Robotic System Toolbox, which aids in creating an environment to observe the limitations and streamline the manipulation processes. The simulation responses confirm that the rendering time and task complexity can be drastically reduced by applying task space trajectory and interpolation methods, resulting in unparalleled task completion. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Engineering Science & Technology Review is the property of Technological Education Institute of Kavala and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 191030931 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimizing the Pick and Place Mechanism using MATLAB Functionalities and Kinova Gen3. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pallav%2C+Pratyush%22">Pallav, Pratyush</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Mahato%2C+Anil+C%2E%22">Mahato, Anil C.</searchLink><relatesTo>1</relatesTo><i> anilmahato@bitmesra.ac.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Engineering+Science+%26+Technology+Review%22">Journal of Engineering Science & Technology Review</searchLink>. 2025, Vol. 18 Issue 6, p76-84. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22MatLab+%28Computer+software%29%22">MatLab (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Manipulators+%28Machinery%29%22">Manipulators (Machinery)</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+robots%22">Industrial robots</searchLink><br /><searchLink fieldCode="DE" term="%22Trajectories+%28Mechanics%29%22">Trajectories (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Robot+control+systems%22">Robot control systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Picking and placing are fundamental biomechanical human activities that can be replicated in a manipulator. Although simple, it is vital for day-to-day functioning in industries. Many hard-coded manipulators are designed solely for picking and placing. However, as new industries set up their "intelligent manufacturing" plants, more intelligent methods are being used to detect, process, and manipulate them. This study approaches a similar approach using a Kinova Gen3 manipulator that proposes an algorithm and uses the Structural Similarity Index Measure (SSIM) to estimate object distances. The Kinova Gen3 manipulator has been used for the application due to its variable degree of freedom, which can be altered from six to seven, and it can be used to perform flexible movement, that can be utilized in different complex objectives. Moreover, it uses Stateflow, MATLAB's Robotic System Toolbox, which aids in creating an environment to observe the limitations and streamline the manipulation processes. The simulation responses confirm that the rendering time and task complexity can be drastically reduced by applying task space trajectory and interpolation methods, resulting in unparalleled task completion. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Engineering Science & Technology Review is the property of Technological Education Institute of Kavala and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.25103/jestr.186.09 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 76 Subjects: – SubjectFull: MatLab (Computer software) Type: general – SubjectFull: Manipulators (Machinery) Type: general – SubjectFull: Industrial robots Type: general – SubjectFull: Trajectories (Mechanics) Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: Robot control systems Type: general Titles: – TitleFull: Optimizing the Pick and Place Mechanism using MATLAB Functionalities and Kinova Gen3. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pallav, Pratyush – PersonEntity: Name: NameFull: Mahato, Anil C. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 17912377 Numbering: – Type: volume Value: 18 – Type: issue Value: 6 Titles: – TitleFull: Journal of Engineering Science & Technology Review Type: main |
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