Innovative Research Award
Jose Angel Acosta – University of Seville
Jose Angel Acosta is a researcher affiliated with the University of Seville, Spain, whose stated subject area is real-time robotic control. The research profile associated with Scopus ID 7102205615 records 108 documents, 2,341 citations, and an h-index of 26. These indicators provide a bibliometric basis for examining research productivity and scholarly visibility. [1]
Abstract
Jose Angel Acosta is affiliated with the University of Seville in Spain and is identified with the subject area of real-time robotic control. His supplied Scopus profile records 108 documents, 2,341 citations, and an h-index of 26, providing measurable indicators of scholarly productivity and citation visibility. [1] Real-time robotic control encompasses computational methods that enable robotic systems to perceive conditions, process information, and respond within operational time constraints. Such research contributes to dependable automation, adaptive control, and intelligent robotic behavior. [2]
Keywords
Real-Time Robotic Control; Robotics; Automation; Robot Control; Intelligent Robotics; Real-Time Systems; Autonomous Systems; Robotic Engineering; Control Systems; Research Impact.
Introduction
Real-time control is a central area of robotics because robotic systems frequently need to interpret sensor information and produce control actions within strict temporal constraints. Research in this field intersects control engineering, computing, artificial intelligence, sensing, and automation. The supplied profile identifies Jose Angel Acosta with this research domain at the University of Seville. [2]
Research Profile
The supplied researcher record identifies Jose Angel Acosta with the University of Seville and Spain as the country of affiliation. The Scopus identifier is 7102205615. The profile contains 108 documents, 2,341 citations, and an h-index of 26. These values describe publication volume and citation-based visibility within the indexed scholarly record. [1]
Research Contributions
The stated research focus on real-time robotic control relates to methods for coordinating sensing, computation, decision-making, and actuation under temporal constraints. In robotics, control architectures must balance responsiveness, stability, accuracy, and computational requirements. These considerations are important for autonomous and semi-autonomous systems operating in changing physical environments. [2]
Publications
The supplied Scopus record reports 108 documents for the researcher. This document count indicates a substantial indexed publication record, although publication type, authorship position, journal distribution, subject-specific contribution, and individual article details require examination of the underlying bibliographic records. The Scopus author profile is therefore the appropriate source for verifying the complete publication list. [1]
Research Impact
The supplied citation count of 2,341 and h-index of 26 provide quantitative indicators of the research profile’s scholarly visibility. Citation metrics should be interpreted in relation to discipline, publication age, collaboration patterns, and database coverage rather than as independent measures of research quality. Nevertheless, the reported values indicate sustained citation activity within the indexed record. [1]
Award Suitability
The Innovative Research Award profile is aligned with the International Robotics and Automation Awards through the stated subject area of real-time robotic control. The research domain is directly relevant to robotics, automation, intelligent machines, and control engineering. The supplied Scopus indicators of 108 documents, 2,341 citations, and an h-index of 26 provide quantitative evidence that may be considered during an academic recognition process. [1]
Conclusion
Jose Angel Acosta’s supplied academic profile presents a research focus on real-time robotic control and an indexed record of 108 documents, 2,341 citations, and an h-index of 26. These indicators establish a measurable scholarly profile relevant to robotics and automation. The Innovative Research Award recognition is consequently thematically aligned with the stated research area, subject to independent verification and formal award assessment. [1]
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