Minu Ayromlou

About

Minu Ayromlou is a pioneering researcher in computer vision and robotics, whose work has fundamentally advanced the field of model-based 3D object tracking for robotic applications. Her key research areas include real-time visual servoing, robust feature tracking, and vision-based robot navigation. Ayromlou's most significant contribution is the development of the Vision for Robotics (V4R) software package, a groundbreaking tool for tracking rigid objects in unknown environments that outputs 3D pose data for robotic control at camera frame rate. Her seminal 2005 paper on V4R has garnered 23 citations, while her earlier work on the Edge-Projected Integration of Image and Model Cues (EPIC) framework, cited 21 times, dramatically improved the robustness of edge-based feature tracking against background clutter and varying lighting conditions. Ayromlou also led the RobVision project, developing a vision-based navigation system for a climbing robot used in ship inspection and welding, as documented in her 2002 paper with 11 citations. Her 1999 framework for robust real-time 3D object tracking, cited 20 times, remains a foundational reference in the field. Through her integration of multiple visual cues and her focus on real-world industrial applications, Ayromlou has established herself as a key figure in making computer vision practical for autonomous robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Vison for robotics - A tool for model-based object tracking

   23 citations · 2005
2. 2
   Edge-Projected Integration of Image and Model Cues for Robust Model-Based Object Tracking

   21 citations · 2001
3. 3
   An Integrating Framework for Robust Real-Time 3D Object Tracking

   20 citations · 1999
4. 4
   RobVision: vision based navigation for mobile robots

   11 citations · 2002
5. 5
   On the calibration of a 6D laser tracking system for contactless, dynamic robot measurements

   9 citations · 2002
6. 6
   A system to navigate a robot into a ship structure

   9 citations · 2003
7. 7
   Measuring Scene Complexity to Adapt Feature Selection of Model-Based Object Tracking

   8 citations · 2003
8. 8
   Dynamic Aspects of Visual Servoing and a Framework for Real-Time 3D Vision for Robotics

   4 citations · 2002
9. 9
   A System to Navigate a Robot into a Ship Structure

   3 citations · 2001
10. 10
    Improving the robustness of image-based tracking to control 3D robot motions

    3 citations · 2003

Key Collaborators

Contact & Links