Edouard Ivanjko

About

Edouard Ivanjko is a robotics researcher whose work centers on mobile robot localization, navigation, and sensor fusion — areas critical to enabling autonomous systems to operate reliably in real-world environments. His most influential contribution, "Extended Kalman Filter Based Mobile Robot Pose Tracking Using Occupancy Grid Maps" (2004, 44 citations), addressed a fundamental challenge in robotics: the unbounded accumulation of odometric errors over time. By fusing calibrated odometry with sonar sensor data through an Extended Kalman Filter (EKF), Ivanjko demonstrated a practical and robust approach to accurate pose estimation — a problem he continued refining through several follow-up studies, including Hough transform-based orientation correction and model-based self-localization. His 2007 work on odometry calibration for differential drive robots (21 citations) provided accessible off-line methods widely applicable across robot platforms, while his vision-based multi-robot tracking system highlighted his range across sensing modalities. The AMORsim simulator for MATLAB reflects his commitment to reproducible, safe algorithm development. Collectively, Ivanjko's contributions form a coherent body of work that has meaningfully advanced mobile robot autonomy, particularly in indoor environments where precise localization remains an enduring technical challenge.

Research Focus

Key Achievements

Top Papers

1. 1
   Extended Kalman filter based mobile robot pose tracking using occupancy grid maps

   44 citations · 2004
2. 2
   Robust and accurate global vision system for real time tracking of multiple mobile robots

   21 citations · 2007
3. 3
   Simple off-line Odometry Calibration of Differential Drive Mobile Robots

   21 citations · 2007
4. 4
   Kalman Filter Theory Based Mobile Robot Pose Tracking Using Occupancy Grid Maps

   19 citations · 2005
5. 5
   AMORsim - A Mobile Robot Simulator for Matlab

   15 citations · 2006
6. 6
   An approach to motion planning of indoor mobile robots

   14 citations · 2004
7. 7
   Model based Kalman Filter Mobile Robot Self-Localization

   9 citations · 2010
8. 8
   Sonar-based Pose Tracking of Indoor Mobile Robots

   8 citations · 2004
9. 9
   Improvements of Occupancy Grid Maps by Sonar Data Corrections

   6 citations · 2003
10. 10
    Hough transform based correction of mobile robot orientation

    5 citations · 2005

Key Collaborators

Contact & Links