Alina Trifan
Papers
7
Total Citations
38
H-Index
4
About
Alina Trifan is a robotics and computer vision researcher whose work centers on developing intelligent perception systems for autonomous robots, with particular emphasis on robotic soccer platforms and service robotics. Her research spans real-time vision architectures, object detection, and color calibration, addressing the fundamental challenge of enabling robots to accurately perceive and interpret dynamic, uncontrolled environments. Among her most notable contributions is the development of UAVision, a modular, time-constrained computer vision library designed specifically for soccer robots, which has informed both real-time color-coded object detection and camera calibration pipelines. Her work on detecting aerial balls using combined color and depth information tackles one of the more demanding problems in robotic perception — tracking fast-moving objects under unpredictable lighting conditions. Trifan has also contributed to the CAMBADA Middle Size robotic soccer team, a collaborative platform that has served as a testbed for many of her innovations. Extending her expertise beyond competitive robotics, she has explored object detection for service robots aimed at assisting elderly and disabled individuals, reflecting a broader commitment to socially impactful applications. With citations spanning publications from 2012 to 2016, her work has steadily influenced the robotics vision community and continues to provide foundational tools for autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3A modular real-time vision system for humanoid robots6 citations · 2012
- 4UAVision: A Modular Time-Constrained Vision Library for Soccer Robots6 citations · 2015
- 5CAMBADA'2013: Team Description Paper3 citations · 2013
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