Zeyad Albatati
Papers
1
Total Citations
3
H-Index
1
About
Zeyad Albatati is a robotics researcher whose work focuses on autonomous navigation, sensor fusion, and control systems for mobile robots. His key contributions lie in developing robust odometry methods that integrate visual, inertial, and wheel encoder data to achieve precise self-localization, particularly in challenging indoor environments where GNSS signals are unreliable. His most cited paper, "A Robust Visual-IMU-Wheel Odometry Using PID Controller for Autonomous Soccer Robots" (2022), demonstrates a novel approach that combines a PID controller with multi-sensor fusion to enhance the accuracy and reliability of robot positioning during dynamic, high-speed soccer matches. This work addresses a critical challenge in robot autonomy: maintaining stable localization under rapid motion and variable lighting conditions. With 3 citations, this paper has already garnered attention from the robotics community, highlighting its practical relevance for applications beyond soccer—including warehouse automation and search-and-rescue operations. Albatati’s research exemplifies how sensor fusion and control theory can push the boundaries of autonomous navigation, offering scalable solutions for real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1