Mohammed Tarbochi
Papers
1
Total Citations
12
H-Index
1
About
Mohammed Tarbochi has made significant contributions to the field of autonomous navigation and positioning systems, particularly for wheeled robots operating in challenging environments. His key research areas include sensor fusion, inertial navigation, and GPS-denied localization, where he has developed robust algorithms that integrate inertial measurement units, odometry, and GPS data to maintain accurate positioning even when satellite signals are unavailable. His most-cited work, "Improved Inertial/Odometry/GPS Positioning of Wheeled Robots Even in GPS-Denied Environments" (2012, 12 citations), demonstrates a practical solution for maintaining reliable navigation in urban canyons, tunnels, or indoor settings—a critical advancement for autonomous vehicles and robotics. This research, conducted in collaboration with experts from Canadian Forces, Trusted Positioning Inc., and Queen’s University, showcases his ability to bridge academic theory with real-world applications. Tarbochi’s work has influenced the development of resilient navigation systems, offering a foundation for future innovations in autonomous mobility. His contributions continue to inspire researchers seeking to enhance the reliability of robotic systems in GPS-compromised scenarios.
Research Focus
Key Achievements
Top Papers
- 1