Academic Journal
Collision-free robotic manipulation: a review and bibliometric analysis.
| Title: | Collision-free robotic manipulation: a review and bibliometric analysis. |
|---|---|
| Authors: | Martínez-Peral, Francisco José1 (AUTHOR) francisco.martinezp@umh.es, Ferez-Rubio, Jose Antonio1,2 (AUTHOR), Mronga, Dennis3 (AUTHOR), de Gea Fernández, José4 (AUTHOR), Segura-Heras, José Vicente5 (AUTHOR), Perez-Vidal, Carlos1 (AUTHOR) |
| Source: | International Journal of Systems Science. May2026, Vol. 57 Issue 7, p1966-1989. 24p. |
| Subject Terms: | *Industrial robots, *Automated planning & scheduling, Obstacle avoidance (Robotics), Robotic path planning, Bibliometrics, Reinforcement learning, Optimization algorithms |
| Abstract: | This study presents a comprehensive review and bibliometric analysis of collision-free robotic manipulation, a key area for ensuring safety and optimising efficiency in advanced robotics. A data set was collected from the Web of Science Core Collection (2014–2024) and subjected to analysis, with 169 articles, with the aim of identifying emerging trends, key contributions and global collaboration patterns. The results demonstrate a steady increase in scientific output and identify four research clusters: collision avoidance in robotic systems, trajectory planning and optimisation, reinforcement learning and autonomous planning, and collaborative robotics and safety. These clusters illustrate the convergence of advanced techniques such as trajectory planning, optimisation algorithms and autonomous learning. This highlights their influence on both industrial applications and collaborative environments. This study provides a comprehensive overview of the research landscape, facilitating a deeper understanding of the field and fostering interdisciplinary collaboration. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Systems Science is the property of Taylor & Francis Ltd 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.) | |
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| Items | – Name: Title Label: Title Group: Ti Data: Collision-free robotic manipulation: a review and bibliometric analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Martínez-Peral%2C+Francisco+José%22">Martínez-Peral, Francisco José</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> francisco.martinezp@umh.es</i><br /><searchLink fieldCode="AR" term="%22Ferez-Rubio%2C+Jose+Antonio%22">Ferez-Rubio, Jose Antonio</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mronga%2C+Dennis%22">Mronga, Dennis</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22de+Gea+Fernández%2C+José%22">de Gea Fernández, José</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Segura-Heras%2C+José+Vicente%22">Segura-Heras, José Vicente</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Perez-Vidal%2C+Carlos%22">Perez-Vidal, Carlos</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Systems+Science%22">International Journal of Systems Science</searchLink>. May2026, Vol. 57 Issue 7, p1966-1989. 24p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Industrial+robots%22">Industrial robots</searchLink><br />*<searchLink fieldCode="DE" term="%22Automated+planning+%26+scheduling%22">Automated planning & scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Obstacle+avoidance+%28Robotics%29%22">Obstacle avoidance (Robotics)</searchLink><br /><searchLink fieldCode="DE" term="%22Robotic+path+planning%22">Robotic path planning</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Reinforcement+learning%22">Reinforcement learning</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study presents a comprehensive review and bibliometric analysis of collision-free robotic manipulation, a key area for ensuring safety and optimising efficiency in advanced robotics. A data set was collected from the Web of Science Core Collection (2014–2024) and subjected to analysis, with 169 articles, with the aim of identifying emerging trends, key contributions and global collaboration patterns. The results demonstrate a steady increase in scientific output and identify four research clusters: collision avoidance in robotic systems, trajectory planning and optimisation, reinforcement learning and autonomous planning, and collaborative robotics and safety. These clusters illustrate the convergence of advanced techniques such as trajectory planning, optimisation algorithms and autonomous learning. This highlights their influence on both industrial applications and collaborative environments. This study provides a comprehensive overview of the research landscape, facilitating a deeper understanding of the field and fostering interdisciplinary collaboration. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Systems Science is the property of Taylor & Francis Ltd 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: 10.1080/00207721.2025.2547392 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 1966 Subjects: – SubjectFull: Industrial robots Type: general – SubjectFull: Automated planning & scheduling Type: general – SubjectFull: Obstacle avoidance (Robotics) Type: general – SubjectFull: Robotic path planning Type: general – SubjectFull: Bibliometrics Type: general – SubjectFull: Reinforcement learning Type: general – SubjectFull: Optimization algorithms Type: general Titles: – TitleFull: Collision-free robotic manipulation: a review and bibliometric analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Martínez-Peral, Francisco José – PersonEntity: Name: NameFull: Ferez-Rubio, Jose Antonio – PersonEntity: Name: NameFull: Mronga, Dennis – PersonEntity: Name: NameFull: de Gea Fernández, José – PersonEntity: Name: NameFull: Segura-Heras, José Vicente – PersonEntity: Name: NameFull: Perez-Vidal, Carlos IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00207721 Numbering: – Type: volume Value: 57 – Type: issue Value: 7 Titles: – TitleFull: International Journal of Systems Science Type: main |
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