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Tag: Robotic Feedback Control Award

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Hadi Azmi | Real-Time Robotic Control | Best Research Article Award

Published on 06/11/202607/11/2026 by Robotics and Automation

Best Research Article Award

Hadi Azmi – Sahand University of Technology, Iran

Hadi Azmi
Affiliation Sahand University of Technology
Country Iran
Scopus ID 57035253900
Documents 14
Citations 100
h-index 5
Subject Area Real-Time Robotic Control
Event International Robotics and Automation Awards
ORCID 0000-0003-2442-5276

Real-Time Robotic Control is an important research area in robotics and automation, focusing on the coordination of robotic operations within defined timing constraints. It involves system responsiveness, motion regulation, feedback processing, and reliable execution of control commands. Hadi Azmi, affiliated with Sahand University of Technology, Iran, is associated with this research subject area. [1]

Contents

  1. Abstract
  2. Keywords
  3. Introduction
  4. Research Profile
  5. Research Contributions
  6. Publications
  7. Research Impact
  8. Award Suitability
  9. Conclusion
  10. External Links
  11. References

Abstract

This profile presents Hadi Azmi, a researcher affiliated with Sahand University of Technology, Iran, whose identified subject area is Real-Time Robotic Control. The available Scopus profile reports 14 documents, 100 citations, and an h-index of five. These bibliometric indicators provide an overview of his recorded scholarly activity. His research area is relevant to robotic system coordination, automation, and real-time control engineering. [2]

Keywords

Hadi Azmi, Best Research Article Award, Real-Time Robotic Control, Robotics and Automation, Robotic Systems, Control Engineering, Automation Technology, Feedback Control, Robotic Motion Control, Sahand University of Technology.

Introduction

Real-Time Robotic Control focuses on managing robotic operations through timely processing of control signals, sensor information, and system responses. It supports accurate movement, operational stability, and dependable automation. Hadi Azmi is associated with this subject area through his academic research profile at Sahand University of Technology in Iran. [3]

Research Profile

Hadi Azmi is affiliated with Sahand University of Technology in Iran. His identified research subject is Real-Time Robotic Control, connecting robotics, control engineering, and automation. His supplied Scopus profile reports 14 documents, 100 citations, and an h-index of five. These indicators provide a bibliometric overview of his recorded academic research activity. [3]

Research Contributions

Research in real-time robotic control addresses the coordination of robotic operations, system responsiveness, and control performance. This research area supports the development of reliable and efficient automated systems. Azmi’s identified subject area is relevant to these engineering challenges. Individual contributions should be evaluated through verified publications, research methodologies, experimental results, and demonstrated technical applications. [1]

Publications

The supplied Scopus author profile records 14 documents associated with Hadi Azmi. These publications provide a basis for examining his research interests, academic output, and subject-area development. A detailed publication assessment should consider article titles, journal quality, publication dates, co-authorship, and research findings. Individual DOI information should be verified against the indexed publication records. [2]

Research Impact

Research impact can be assessed through citation activity, publication visibility, and contributions to scientific knowledge. The supplied Scopus indicators for Azmi report 100 citations and an h-index of five. These measurements offer quantitative context for understanding scholarly recognition. However, citation metrics should be considered alongside research originality, technical quality, and practical relevance. [3]

Award Suitability

Hadi Azmi’s identified research area, Real-Time Robotic Control, is relevant to the broader scope of robotics and automation. His reported publication and citation indicators provide supporting academic information for consideration. Evaluation for the Best Research Article Award should additionally examine originality, methodological rigor, technical significance, publication quality, and verifiable research outcomes.[3]

Conclusion

Hadi Azmi’s academic profile highlights his affiliation with Sahand University of Technology and his association with Real-Time Robotic Control. His reported bibliometric indicators provide an overview of publication and citation activity. Further examination of individual research outputs can establish originality, technical contributions, and relevance to developments in robotics and automation. [1]

External Links

  • ORCID Profile
  • Scopus Author Profile
  • Google Scholar
  • International Robotics and Automation Awards

References

  1. Adaptive fuzzy fault-tolerant PID controller design for a single-tank level process in the presence of sensor faults and disturbances
    https://www.nature.com/articles/s41598-026-73199-y?utm_source=rct_congratemailt
  2. Robust adaptive fault detection and diagnosis observer design for a class of nonlinear systems with uncertainty and unknown time-varying internal delay
    https://www.sciencedirect.com/science/article/abs/pii/S0019057822002622
  3. LMI-based adaptive output feedback fault-tolerant controller design for nonlinear systems
    https://onlinelibrary.wiley.com/doi/abs/10.1002/acs.2805
Posted in: BiographyTagged: Adaptive Robotic Control Award, Advanced Robotic Control Systems Award, Advanced Robotics Research Award, AI-Based Robotic Control Award, Autonomous Robot Systems Award, Autonomous Robotic Control Award, Best Researcher in Robotic Control Award, Collaborative Robotics Research Award, Dynamic Robotic Systems Award, Emerging Robotic Control Technology Award, Excellence in Real-Time Robotic Control Award, High-Performance Robotic Control Award, Human-Robot Interaction Control Award, Industrial Robotic Control Award, Innovation in Real-Time Robotic Control Award, Intelligent Automation Research Award, Intelligent Robotic Control Award, International Robotic Control Excellence Award, Lifetime Achievement in Robotic Control Award, Machine Learning in Robotics Award, Multi-Robot Control Systems Award, Next-Generation Robotics Award, Outstanding Real-Time Robotics Award, Precision Robotic Control Award, Real-Time Embedded Robotics Award, Real-Time Motion Planning Award, Real-Time Robot Automation Award, Real-Time Robotic Control Award, Real-Time Robotic Control Research Award, Real-Time Robotics Technology Award, Robotic Control Algorithm Award, Robotic Decision Control Award, Robotic Feedback Control Award, Robotic Motion Control Research Award, Robotic Navigation Control Award, Robotic Sensor Integration Award, Robotic Systems Engineering Award, Robotics Automation Innovation Award, Smart Robotics Innovation Award, Young Researcher Real-Time Robotics Award

Jose Angel Acosta | Real-Time Robotic Control | Innovative Research Award

Published on 11/08/202611/08/2026 by Robotics and Automation

Innovative Research Award

Jose Angel Acosta – University of Seville

Researcher Profile
Affiliation University of Seville
Country Spain
Scopus ID 7102205615
Documents 108
Citations 2,341
h-index 26
Subject Area Real-Time Robotic Control
Event International Robotics and Automation Awards
ORCID 0000-0003-0040-338X

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]

Contents

  1. Abstract
  2. Keywords
  3. Introduction
  4. Research Profile
  5. Research Contributions
  6. Publications
  7. Research Impact
  8. Award Suitability
  9. Conclusion
  10. External Links
  11. References

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]

External Links

  • ORCID Profile
  • Scopus Author Profile
  • International Robotics and Automation Awards

References

  1. Completeness of Riemannian metrics: an application to the control of constrained mechanical systems.

    https://www.researchgate.net/publication/394233995_Completeness_of_Riemannian_metrics_an_application_to_the_control_of_constrained_mechanical_systems
  2. Control of a multirotor outdoor aerial manipulator.

    https://www.researchgate.net/publication/286475890_Control_of_a_multirotor_outdoor_aerial_manipulator
  3. Perch Like a Bird: Bio-Inspired Optimal Maneuvers and Nonlinear Control for Flapping-Wing Unmanned Aerial Vehicles.

    https://www.researchgate.net/publication/400545439_Perch_Like_a_Bird_Bio-Inspired_Optimal_Maneuvers_and_Nonlinear_Control_for_Flapping-Wing_Unmanned_Aerial_Vehicles
  4. ORCID. (n.d.). ORCID record for Jose Angel Acosta. ORCID.

    https://orcid.org/0000-0003-0040-338X
Posted in: BiographyTagged: Adaptive Robot Control Award, Adaptive Robotic Control Award, Advanced Robot Control Award, Advanced Robotic Control Award, Advanced Robotics Control Technology Award, AI Robotic Control Award, Autonomous Motion Control Award, Autonomous Robot Control Award, Autonomous Robotic Control Award, Dynamic Robotic Control Award, Embedded Robotic Control Award, Intelligent Automation Control Award, Intelligent Robot Control Award, Intelligent Robotic Control Award, Intelligent Robotics Automation Award, Next-Generation Robotic Control Award, Precision Robotic Control Award, Real-Time Automation Award, Real-Time Autonomous Robotics Award, Real-Time Robot Automation Award, Real-Time Robot Control Award, Real-Time Robot Systems Award, Real-Time Robotic Control Award, Real-Time Robotic Systems Award, Real-Time Robotics Award, Robot Feedback Control Award, Robot Motion Control Award, Robot Motion Planning Award, Robotic Automation Control Award, Robotic Control Innovation Award, Robotic Control Research Award, Robotic Control Systems Award, Robotic Engineering Control Award, Robotic Feedback Control Award, Robotic Motion Control Award, Robotic Navigation Control Award, Robotic Systems Control Award, Robotic Trajectory Control Award, Robotics Control Technology Award, Smart Robotic Control Award

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