Publication
Collision-Free Robotic Manipulation: A Review and Bibliometric Analysis
Francisco José Martínez-Peral; Jose Antonio Ferez-Rubio; Dennis Mronga; José de Gea Fernández; José Vicente Segura-Heras; Carlos Perez Vidal
In: International Journal of Systems Science, Pages 1-24, Taylor & Francis, 2025.
Abstract
This study presents a comprehensive review and bibliometric analysis of collision-free robotic manipulation, a key area for ensuring safety and optimizing effciency 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 scientifc output and identify four research clusters: collision avoidance in robotic systems, trajectory planning and optimization, reinforcement learning and autonomous planning, and collaborative robotics and safety. These clusters illustrate the convergence of advanced techniques such as trajectory planning, optimization algorithms and autonomous learning. This highlights their inuence on both industrial applications and collaborative environments. This study provides a comprehensive overview of the research
landscape, facilitating a deeper understanding of the eld and fostering interdisciplinary collaboration.