Nurhan Gursel Ozmen | Rehabilitation Robotics | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Nurhan Gürsel Özmen — Karadeniz Technical University, Turkey

Nurhan Gürsel Özmen
Affiliation Karadeniz Technical University
Country Turkey
Scopus ID 36172706600
Documents 20
Citations 277
h-index 7
Subject Area Rehabilitation Robotics
Event International Robotics and Automation Awards
ORCID 0000-0002-7016-5201

Nurhan Gürsel Özmen is an academic researcher at Karadeniz Technical University whose work encompasses mechanical engineering, robotics, control, and rehabilitation-oriented robotic systems. Her documented academic activities include research supervision, project leadership, and publications addressing robotic mechanisms, control systems, and rehabilitation technologies. [1]

Abstract

Nurhan Gürsel Özmen is associated with research at the intersection of mechanical engineering, robotics, control, and rehabilitation technology. Her academic record includes work on rehabilitation robots, robotic mechanisms, path planning, multi-robot systems, and engineering control. Recent research includes a cable-supported hand and wrist rehabilitation robot developed with attention to portability, adaptability, and controlled therapeutic movement.[2]

Keywords

  • Rehabilitation Robotics
  • Robotics and Automation
  • Hand and Wrist Rehabilitation
  • Robotic Mechanisms
  • Robot Control
  • Mechanical Engineering
  • Assistive Robotics

Introduction

Rehabilitation robotics combines mechanical engineering, control, sensing, and human-centered design to support therapeutic movement and functional recovery. The field includes robotic devices for upper-limb assistance, wearable systems, and intelligent control approaches. Research by Özmen aligns with this interdisciplinary direction through investigations of robotic rehabilitation mechanisms and related engineering systems.[3]

Research Profile

Özmen’s academic profile is centered on mechanical engineering, system dynamics, control, robotics, and rehabilitation technologies. University records document academic appointments, research supervision, and projects involving rehabilitation robots, modular robotics, multi-robot coordination, and diagnostic decision-support systems. This breadth indicates an interdisciplinary research profile connecting engineering methods with emerging robotic and healthcare applications. [1]

Research Contributions

A notable contribution is research on hand and wrist rehabilitation robotics, including development of a cable-supported robotic system and control approaches for multi-degree-of-freedom rehabilitation mechanisms. Related work addresses mechanism design, actuation, motion, and control. These contributions connect mechanical design principles with practical rehabilitation requirements and experimental evaluation of robotic movement. [2]

Publications

Available institutional records list publications spanning robotics, autonomous systems, mechanical engineering, control, and rehabilitation. A recent publication, co-authored with Musa Marul, presents the design and production of a cable-supported hand and wrist rehabilitation robot. Another study examines metaheuristic optimization for control of a multi-degree-of-freedom hand and wrist rehabilitation robot, demonstrating continued activity in this research area.[3]

Research Impact

The research has relevance to rehabilitation engineering because robotic assistance can support repeatable, controlled, and adaptable therapeutic movement. Özmen’s documented work contributes to this broader research direction through rehabilitation-device development and control studies. Her publication and project activities also connect academic engineering research with potential clinical and home-oriented rehabilitation applications. [1]

Award Suitability

The documented combination of robotics research, rehabilitation-device development, academic supervision, and engineering publications provides a reasonable basis for consideration for an Innovative Research Award. Her work demonstrates relevance to contemporary robotics and rehabilitation engineering, particularly through research addressing robotic mechanisms and controlled therapeutic movement. Award assessment should additionally consider the organizer’s formal eligibility and evaluation criteria.[2]

Conclusion

Nurhan Gürsel Özmen’s documented academic activities demonstrate sustained engagement with robotics, mechanical engineering, control, and rehabilitation technologies. Her research includes robotic rehabilitation mechanisms, control strategies, and interdisciplinary engineering applications. These activities establish a relevant scholarly foundation for recognition in an innovation-focused robotics award, subject to independent verification of submitted academic records. [3]

References

  1. Design and Production of a Novel Cable Supported Hand and Wrist Rehabilitation Robot: Prototype Study.
    https://link.springer.com/article/10.1007/s10846-025-02289-2
  2. Intelligent Worm Gearbox Fault Diagnosis Under Various Working Conditions Using Vibration, Sound and Thermal Features
    https://www.researchgate.net/publication/355444390_Intelligent_Worm_Gearbox_Fault_Diagnosis_Under_Various_Working_Conditions_Using_Vibration_Sound_and_Thermal_Features
  3. Achievements and future directions in self‐reconfigurable modular robotic systems
    https://www.researchgate.net/publication/366217239_Achievements_and_future_directions_in_self-reconfigurable_modular_robotic_systems

Yonghui Xu | Human-Centered Robot Design | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Yonghui Xu – Guangzhou Maritime University

Yonghui Xu is affiliated with Guangzhou Maritime University, China, and is associated with research in human-centered robot design. His scholarly profile includes 118 documents, 1,442 citations, and an h-index of 19 according to the supplied Scopus author information.His ORCID record provides an additional persistent identifier for scholarly activities. [2]

Yonghui Xu
Name Yonghui Xu
Affiliation Guangzhou Maritime University
Country China
Scopus ID 55537371300
Documents 118
Citations 1,442
h-index 19
Subject Area Human-Centered Robot Design
Event International Robotics and Automation Awards
ORCID 0000-0002-1891-6186

Abstract

The Innovative Research Award recognizes scholarly work demonstrating meaningful contributions to research, technological development, and knowledge advancement. Yonghui Xu, affiliated with Guangzhou Maritime University, is presented in relation to research concerning human-centered robot design. The supplied scholarly indicators include 118 documents, 1,442 citations, and an h-index of 19. [1]

Keywords

Human-centered robot design, robotics, automation, intelligent systems, human-robot interaction, robot innovation, robotic technologies, autonomous systems, engineering research, scholarly impact, research innovation, Guangzhou Maritime University.

Introduction

Human-centered robotics emphasizes the development of robotic systems that account for human needs, interaction, usability, and operational contexts. Research in this area connects engineering with intelligent system design and interaction principles. Yonghui Xu’s identified subject area places his scholarly profile within this interdisciplinary research landscape and supports consideration for innovation-focused recognition. [2]

Research Profile

Yonghui Xu is associated with Guangzhou Maritime University and identified with human-centered robot design. The supplied Scopus information records 118 documents, 1,442 citations, and an h-index of 19, providing quantitative indicators of scholarly activity and citation reach. His ORCID identifier further supports consistent identification across research outputs and academic systems. [2]

Research Contributions

Research associated with human-centered robot design contributes to robotics by emphasizing systems that integrate technical performance with human requirements. Such work can address interaction, usability, adaptability, and practical deployment considerations. Xu’s profile is relevant to this research direction through its stated subject area and documented scholarly activity, supporting an innovation-oriented academic assessment. [3]

Publications

The supplied Scopus profile reports 118 documents associated with Yonghui Xu, indicating a substantial body of indexed scholarly output. These records provide a basis for evaluating research activity, thematic continuity, and scholarly dissemination. Individual publication titles, journals, years, and DOI information should be verified directly through authoritative bibliographic records before being used for detailed publication-level assessment. [1]

Research Impact

The supplied scholarly indicators report 1,442 citations and an h-index of 19 for the identified Scopus author profile. These measures provide quantitative evidence of citation activity, although they should be interpreted alongside publication quality, disciplinary context, collaboration, and research significance. Together, the indicators offer one perspective on the visibility of Xu’s research record. [2]

Award Suitability

Yonghui Xu’s stated specialization in human-centered robot design aligns with the broader objectives of robotics and automation recognition. His documented publication and citation indicators provide measurable evidence of scholarly activity. On the supplied information, the profile can be considered relevant to an Innovative Research Award emphasizing research development, interdisciplinary robotics, technological advancement, and sustained scholarly contribution.[3]

Conclusion

The available information presents Yonghui Xu as a researcher associated with human-centered robot design at Guangzhou Maritime University. The reported publication and citation indicators demonstrate an established scholarly record. These factors, together with the relevance of human-centered robotics to contemporary automation research, provide a reasonable academic basis for consideration under an Innovative Research Award.[2]

References

  1. Industrial Robot Applications, Urban–Rural Dual-System Structure, and Rural–Urban Labor Migration: Evidence from 31 Chinese Provinces.
    https://www.mdpi.com/2071-1050/18/17/8789
  2. A Unified Framework for Metric Transfer Learning
    https://www.researchgate.net/publication/313734270_A_Unified_Framework_for_Metric_Transfer_Learning
  3. A survey on heterogeneous transfer learning.
    https://link.springer.com/article/10.1186/s40537-017-0089-0