Mohd Anasri

Papers

Total Citations

H-Index

About

Mohd Anasri’s research focuses on mobile robot navigation, sensor fusion, and localization in uncertain environments. His most cited work, “Mobile Robot Navigation Using Artificial Landmarks and GPS” (2013), addresses a fundamental challenge in robotics: maintaining accurate position awareness despite sensor errors. Anasri systematically analyzes how cumulative errors from laser range scanners, ultrasonic sensors, cameras, odometry, and GPS can cause robots to deviate from planned paths and fail to reach destinations. By proposing the use of artificial landmarks combined with GPS data, he offers a practical solution to mitigate these localization failures. Though his citation count stands at 4, this work represents an important contribution to the field of autonomous navigation, particularly for researchers working on robust positioning systems in real-world environments. Anasri’s research is especially relevant for students and engineers developing mobile robots that must operate reliably in complex, sensor-noisy settings. His work underscores the critical balance between sensor diversity and error management—a key lesson for anyone building autonomous systems.