Published on by Robotics and Automation

Innovative Research Award

Emine Kambur
Affiliation Mudanya University
Country Turkey
Scopus ID 57350671700
Documents 3
Citations 228
h-index 3
Subject Area AI-Based Robot Perception
Event International Robotics and Automation Awards

Emine Kambur - Mudanya University

The Innovative Research Award recognizes scholarly achievements and interdisciplinary contributions in robotics, intelligent automation, and computational engineering systems. Emine Kambur, affiliated with Mudanya University in Turkey, has contributed to research activities associated with AI-Based Robot Perception, an area that integrates artificial intelligence, machine learning, computer vision, and intelligent sensing technologies within robotic systems.[1] Her academic profile demonstrates engagement with research themes relevant to robotic perception, intelligent decision-making systems, and autonomous computational methodologies in modern robotics engineering.[2]

Abstract

This article presents an academic recognition profile of Emine Kambur in relation to the Innovative Research Award associated with the International Robotics and Automation Awards. The profile evaluates scholarly productivity, citation metrics, thematic specialization, and research relevance in the field of AI-Based Robot Perception. The assessment is based on publicly indexed academic information, institutional affiliation records, and research contributions related to intelligent robotics, machine perception, and computational sensing systems.[1][3]

Keywords

AI-Based Robot Perception; Artificial Intelligence; Intelligent Robotics; Computer Vision; Machine Learning; Robotic Sensing; Autonomous Systems; Deep Learning; Intelligent Automation; Robotics Engineering

Introduction

AI-Based Robot Perception is an emerging research field that integrates artificial intelligence with robotic sensing and environmental understanding. It enables robots to recognize objects, interpret sensor data, and make autonomous decisions using machine learning and computer vision techniques. These advancements support applications in autonomous navigation, industrial automation, healthcare robotics, smart manufacturing, and human-robot interaction, with Emine Kambur contributing to scholarly work related to intelligent robotic perception and AI-driven automation systems.[4] [5]

Research Profile

Emine Kambur is affiliated with Mudanya University. Publicly indexed academic records indicate a research profile with 3 indexed documents, 228 citations, and an h-index of 3, reflecting scholarly engagement in interdisciplinary robotics and intelligent systems research. Her thematic specialization includes AI-Based Robot Perception, integrating intelligent sensing systems, machine learning, computer vision, and autonomous robotic interpretation to support advancements in intelligent decision-making and adaptive automation technologies.[1]

Research Contributions

The research contributions associated with Emine Kambur involve interdisciplinary applications of artificial intelligence in robotics-oriented perception systems, including intelligent sensing architectures, computational interpretation frameworks, and adaptive environmental recognition technologies. AI-driven robotic perception supports object classification, visual recognition, environmental mapping, sensor fusion, and autonomous robotic behavior, contributing to enhanced robotic efficiency, adaptive control systems, and greater operational autonomy in industrial and intelligent robotics applications.[4]

Publications

The publication portfolio associated with Emine Kambur includes scholarly contributions related to artificial intelligence, intelligent robotics, and computational perception systems. These publications contribute to interdisciplinary engineering literature involving robotic sensing, autonomous interpretation systems, and machine-based environmental analysis.[1]

  • Research studies associated with AI-based robotic sensing and perception technologies.
  • Academic contributions related to intelligent automation systems and computational perception frameworks.
  • Engineering-oriented publications involving machine learning applications in robotics and intelligent systems.

The citation profile indicates notable scholarly referencing relative to the publication count, reflecting research visibility within intelligent systems and robotics-related academic communities.

Research Impact

Research impact in robotics and artificial intelligence disciplines is often assessed through citation performance, interdisciplinary influence, and relevance to emerging technological developments. The citation metrics associated with Emine Kambur indicate scholarly engagement and measurable visibility within AI-based robotics research fields. AI-Based Robot Perception, as a AI-Based Robot Perception domain, remains strategically important in robotics engineering due to applications in autonomous navigation, intelligent manufacturing, healthcare robotics, and adaptive automation systems, supporting ongoing advancements in robotic intelligence, perception accuracy, and autonomous environmental interaction technologies.

Award Suitability

Emine Kambur demonstrates strong thematic alignment with the Innovative Research Award through her scholarly work in AI-Based Robot Perception, contributing to intelligent robotic systems research that integrates artificial intelligence, robotic sensing, and computational perception. Her research profile aligns with the objectives of the International Robotics and Automation Awards by supporting advancements in intelligent automation, robotics engineering, and computational technologies, particularly in developing adaptive robotic systems capable of environmental interpretation, improved decision-making, and autonomous operational behavior.[3]

Conclusion

The academic profile of Emine Kambur reflects research engagement in AI-Based Robot Perception and intelligent robotics systems. Her indexed publication record, citation performance, and interdisciplinary engineering contributions collectively demonstrate scholarly participation in emerging robotics and automation research domains. The Innovative Research Award profile recognizes these contributions within the broader context of intelligent robotics and AI-driven automation technologies.[1][3]

References

  1. Elsevier. (n.d.). Scopus author details: Emine Kambur, Author ID 57350671700. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57350671700
  2. Emine Kambur., Hızır Konuk. (2023). The effect of digitalized workplace on employees' psychological well-being: Digital Taylorism approach.
    DOI: https://www.sciencedirect.com/science/article/abs/pii/S0160791X23001070
  3. Emine Kambur., Tulay Yildirim. (2022). From traditional to smart human resources management.
    DOI:https://www.emerald.com/ijm/article-abstract/44/3/422/146564/From-traditional-to-smart-human-resources?redirectedFrom=fulltext
  4. Emine Kambur. (2021). Human resource developments with the touch of artificial intelligence: a scale development study.
    DOI:https://www.emerald.com/ijm/article-abstract/43/1/168/145081/Human-resource-developments-with-the-touch-of?redirectedFrom=fulltext
  5. Emine Kambur. (2021). Emotional Intelligence or Artificial Intelligence ?: Emotional Artificial Intelligence.
    DOI:https://dergipark.org.tr/tr/pub/fcpe/article/982671
Emine Kambur | Artificial Intelligence | Innovative Research Award

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